[visionlist] Post-doc in biomedical image analysis, Riken CBS, Japan

[henrik skibbe]

*### Job offer: Post-doc in biomedical image analysis, Riken CBS, Japan ###*

We are seeking candidates who are interested in developing deep learning
algorithms for improving the registration/alignment of our 2D/3D MRI and
microscopy images.
Earliest start of employment: June, 2021 (negotiable).

Please do not hesitate to contact us if you have any questions:
bia-jobs at ml.riken.jp

Best regards,

Henrik

*### Application & Employment ###*

RIKEN employees enjoy the benefits of a generous vacation and leave
package. An overview of benefits can be found here:
https://www.riken.jp/en/careers/working-at-riken/. For application details,
please refer to the official job posting URL:
https://cbs.riken.jp/en/careers/20210226_w20294_h.skibbe_r.html.

*### Job description ###*
The selected candidate will join the interdisciplinary Brain/MINDS project (
https://brainminds.jp/en/) which aims at studying the neural networks
controlling higher brain functions in the marmoset, to gain new insights
into information processing and diseases of the human brain.
As a member of the project, the selected candidate will contribute to the
development and implementation of image processing and image analysis
techniques with a focus on brain image data, specifically marmosets. We are
seeking candidates who enjoy developing deep learning algorithms for 2D/3D
image registration / alignment.
The work will be done in a highly interdisciplinary research group
consisting of scientists from the neural-scientific and medical research
fields. The emphasis is on developing cutting-edge technologies that
improve current state-of-the-art and publishing high impact work in
top-tier journals in order to build a substantial resume and strong
international collaborations.

Experiences in biomedical image analysis is an advantage but not a
requirement. This job may be a great opportunity to apply knowledge and
expertise from the computer vision and/or image processing field to new
problems in the biomedical field.

*### Location ###*
Wako-City (Kanto district, 2-1 Hirosawa, Wako, Saitama 351-0198). RIKEN is
located in very close proximity to the northern part of Tokyo. Map:
http://www.riken.jp/en/access/wako-map/.

The RIKEN campus is quite large and offers cafeterias, coffee shops, and a
convenient store. From the nearest train station, it is only a 12 min train
ride to the Ikebukuro-Station (Tokyo). The Ikebukuro-Station is a hub which
connects many famous places in Tokyo, including Shinjuku (9 min train
ride), Shibuya (18 min train ride) or Akihabara (19 min train ride). Many
people prefer to avoid crowded streets and trains in their daily life and
are living in close proximity to RIKEN. However, those who prefer living
close to the sightseeing, nightlife and entertainment spots in Tokyo
benefit from commuting out of the city in the morning, and returning in the
evening (significantly less crowded than the other way around).

*### Qualifications ###*
The candidate should have or be expecting to receive a Ph.D., by the time
of employment, in related fields and have

   - relevant research skills and experiences in developing deep learning
   techniques for the analysis/processing of images, demonstrated by
   high-quality publications.
   - expertise in biological/medical/neural image processing, image
   registration, computer vision, machine learning, optimization, or similar
   fields, is an advantage.good English communication skills
   - proficiency in a programming language (such as
   C++/Python/JS)proficiency in tensorflow, pytorch or a similar DL library
   - good communication skills and ability to cooperate
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