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<span style="margin: 0px; background-color: rgb(255, 255, 255)"><b>Open 3-year<span class="Apple-converted-space"> </span><span data-markjs="true" class="mark1zc4lxro8" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">postdoctoral</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markzw1fkzq4y" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">position</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="mark9lsmzqkz4" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">in</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">the</span><span class="Apple-converted-space"> </span></b><a href="https://machine-learning.uit.no/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" style="margin: 0px"><span style="margin: 0px; color: rgb(16, 60, 192)"><b><span data-markjs="true" class="marktqij345je" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">Machine</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markwndsyqwwl" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">Learning</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markp2c1w91tq" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">Group</span></b></span></a><b><span class="Apple-converted-space"> </span>at
UiT<span class="Apple-converted-space"> </span><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">The</span><span class="Apple-converted-space"> </span>Arctic University of Norway.</b></span></p>
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<span style="margin: 0px; background-color: rgb(255, 255, 255)">We are seeking a<span class="Apple-converted-space"> </span><span data-markjs="true" class="mark1zc4lxro8" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">postdoctoral</span><span class="Apple-converted-space"> </span>research
fellow to take an active role<span class="Apple-converted-space"> </span><span data-markjs="true" class="mark9lsmzqkz4" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">in</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">the</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markp2c1w91tq" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">group</span>’s
research on advancing<span class="Apple-converted-space"> </span><span data-markjs="true" class="marktqij345je" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">machine</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markwndsyqwwl" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">learning</span><span class="Apple-converted-space"> </span>methodology.
Special emphasis will be given to candidates who have experience working with modern<span class="Apple-converted-space"> </span><span data-markjs="true" class="marktqij345je" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">machine</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markwndsyqwwl" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">learning</span>,
deep<span class="Apple-converted-space"> </span><span data-markjs="true" class="markwndsyqwwl" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">learning</span><span class="Apple-converted-space"> </span>and data-driven health. Experience
working with unsupervised or semi-supervised methods is desired.<span class="Apple-converted-space"> </span><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">The</span><span class="Apple-converted-space"> </span>overarching
basic research idea is to develop unsupervised and semi-supervised approaches for<span class="Apple-converted-space"> </span><span data-markjs="true" class="marktqij345je" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">machine</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markwndsyqwwl" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">learning</span><span class="Apple-converted-space"> </span>and
deep<span class="Apple-converted-space"> </span><span data-markjs="true" class="markwndsyqwwl" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">learning</span>.</span></p>
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<span style="margin: 0px; background-color: rgb(255, 255, 255)"><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">The</span><span class="Apple-converted-space"> </span>candidate will seek
to develop novel methodology for use within<span class="Apple-converted-space"> </span><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">the</span><span class="Apple-converted-space"> </span>applied
fields of<span class="Apple-converted-space"> </span><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">the</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markp2c1w91tq" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">group</span>.
This<span class="Apple-converted-space"> </span><span data-markjs="true" class="mark9lsmzqkz4" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">in</span>cludes data-driven health (close collaboration with<span class="Apple-converted-space"> </span><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">the</span><span class="Apple-converted-space"> </span>University
Hospital of North Norway), as well as image analysis research together with collaborating partners,<span class="Apple-converted-space"> </span><span data-markjs="true" class="mark9lsmzqkz4" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">in</span><span class="Apple-converted-space"> </span>addition
to<span class="Apple-converted-space"> </span><span data-markjs="true" class="mark9lsmzqkz4" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">in</span>dustrial research.<span class="Apple-converted-space"> </span><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">The</span><span class="Apple-converted-space"> </span>candidate
is expected to master tools such as e.g. TensorFlow and/or Pytorch.<span class="x_Apple-converted-space" style="margin: 0px"> </span></span></p>
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<span style="margin: 0px; color: rgb(20, 20, 20); background-color: rgb(255, 255, 255)">For details, please see:<span class="Apple-converted-space"> </span><a href="https://www.jobbnorge.no/en/available-jobs/job/190781/postdoctoral-research-fellow-in-machine-learning" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" style="margin: 0px"><span style="margin: 0px; color: rgb(16, 60, 192)">https://www.jobbnorge.no/en/available-jobs/job/190781/<span data-markjs="true" class="mark1zc4lxro8" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">postdoctoral</span>-research-fellow-<span data-markjs="true" class="mark9lsmzqkz4" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">in</span>-<span data-markjs="true" class="marktqij345je" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">machine</span>-<span data-markjs="true" class="markwndsyqwwl" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">learning</span></span></a></span></p>
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<span style="margin: 0px; background-color: rgb(255, 255, 255)">The successful candidate will join<span class="Apple-converted-space"> </span><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">the</span><span class="Apple-converted-space"> </span>UiT<span class="Apple-converted-space"> </span><span data-markjs="true" class="marktqij345je" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">Machine</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markwndsyqwwl" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">Learning</span><span class="Apple-converted-space"> </span><span data-markjs="true" class="markp2c1w91tq" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">Group</span>,
a vibrant<span class="Apple-converted-space"> </span><span data-markjs="true" class="markp2c1w91tq" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">group</span><span class="Apple-converted-space"> </span>at<span class="Apple-converted-space"> </span><span data-markjs="true" class="markuix79tovd" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">the</span><span class="Apple-converted-space"> </span>"north
pole", with excellent national and<span class="Apple-converted-space"> </span><span data-markjs="true" class="mark9lsmzqkz4" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">in</span>ternational connections.<span class="x_Apple-converted-space" style="margin: 0px">
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<span style="margin: 0px">Please contact Michael Kampffmeyer (<a href="mailto:michael.c.kampffmeyer@uit.no" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" style="margin: 0px"><span style="margin: 0px; color: rgb(16, 60, 192)">michael.c.kampffmeyer@uit.no</span></a>)
or Robert Jenssen (<a href="mailto:Robert.jenssen@uit.no" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" style="margin: 0px"><span style="margin: 0px; color: rgb(16, 60, 192)">Robert.jenssen@uit.no</span></a>) for more<span class="Apple-converted-space"> </span><span data-markjs="true" class="mark9lsmzqkz4" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="" style="margin: 0px">in</span>fo.<span class="x_Apple-converted-space" style="margin: 0px"> </span></span></p>
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Best,</div>
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Michael</div>
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