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<p class="MsoNormal"><span style="font-size:11.0pt">Hello there!<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">We are seeking candidates for a PhD position in the Centre for Cognitive Neuroimaging, School of Psychology & Neuroscience, University of Glasgow, UK. The position is for interdisciplinary research at the
interface of machine learning, medical imaging, and social sciences.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">In short:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"> <o:p></o:p></span></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Research title: <i>A novel Artificial Intelligence Method for inferencing impaired cognition trajectories from MRI data in patients with Alzheimer's dementia</i><o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Deadline for student applications: 4PM 13th April 2023<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">PhD starting date: October 2023<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Interview: 5<sup>th</sup> May 2023<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Duration: +3 years (+1 for Master’s degree, if needed)<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Full-time or part-time<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Tuition fees covered and a starting stipend of £18,180<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1"><span style="font-size:11.0pt">Apply here: <a href="https://apply.sgsss.ac.uk/" title="https://apply.sgsss.ac.uk/">https://apply.sgsss.ac.uk/</a><o:p></o:p></span></li></ul>
<p class="MsoNormal"><span style="font-size:11.0pt"> <o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">Project summary:</span></b><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Alzheimer’s disease (AD) is the most common type of dementia and a growing public health concern currently affecting over 50 million people globally, with an expected rise to more than 150 million by 2050. Timely
diagnosis and prognosis are thus paramount in determining those at risk of progression from healthy to mild cognitive impairment (MCI) and Alzheimer’s dementia. <br>
The main goal of the doctorate is to develop novel quantitative analysis techniques to estimate cognitive impairments from brain (MR) images. Cognitive performances are often evaluated using medical assessments, while brain imaging offers a more reliable and
reproducible estimate of cognitive function and its decline over time. With recent advances in artificial intelligence and the increasing availability of open datasets, we plan for the student to introduce a novel way to interpret brain images, training the
AI model from a multitude of cognition data. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">The student will build a strong and competitive CV using a unique combination of interdisciplinary expertise in deep learning, computational neuroscience, psychology, and neuropsychological clinical research.
The successful candidate is required to have prior knowledge of Machine Learning and/or a degree in a related field.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Here are the details of the position:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"> <a href="https://www.sgsss.ac.uk/studentship/a-novel-artificial-intelligence-method-for-inferencing-impaired-cognition-trajectories-from-mri-data-in-patients-with-alzheimers-dementia/" title="https://www.sgsss.ac.uk/studentship/a-novel-artificial-intelligence-method-for-inferencing-impaired-cognition-trajectories-from-mri-data-in-patients-with-alzheimers-dementia/">https://www.sgsss.ac.uk/studentship/a-novel-artificial-intelligence-method-for-inferencing-impaired-cognition-trajectories-from-mri-data-in-patients-with-alzheimers-dementia/</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">For informal enquires please get in touch with <a href="mailto:Michele.Svanera@glasgow.ac.uk" title="mailto:Michele.Svanera@glasgow.ac.uk">Michele.Svanera@glasgow.ac.uk</a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black;mso-ligatures:none;mso-fareast-language:EN-GB">--<br>
Michele Svanera, Ph.D.<br>
Lecturer<br>
Centre for Cognitive Neuroimaging,<br>
School of Psychology & Neuroscience,<br>
University of Glasgow (UK)<br>
<a href="https://michelesvanera.org/"><span style="color:#0563C1">michelesvanera.org</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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