21 postdoctoral-image-processing-in-computer-science Postdoctoral positions in Netherlands
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Vacancies Postdoctoral Researcher in Computational Mechanics Key takeaways Group of Multiscale Mechanics, Department of Thermal and Fluid Engineering, Faculty of Engineering Technology, University
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infrastructure for species identification and monitoring (for example in the ARISE and DiSSCo projects). We run nature identification services processing many millions of images/month for users including
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(multimodal learning experience is a plus); You have a publication track record in top AI/ML or medical informatics venues such as NeurIPS, MICCAI, or SPIE Medical Imaging; Experience with clinical healthcare
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in dissecting complex biological processes? If so, then this may be the job for you! As a postdoctoral researcher, you will contribute to a highly collaborative ERC-Synergy project with the ambitious
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set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. More at https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and
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, medical imaging, pathology, molecular biology, and biostatistics. The resulting international biobank of precisely characterised tumour samples provides the basis for countless research projects and opens
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biological mechanisms, such as genetics, epigenetics and/or proteomics Above average computer and statistical analytical skills, with experience in R Experience in analysing at least one type of “omics” data
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- 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 32.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques, hisopathology) is
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of Computer Science, Computer Engineering, Biomedical Engineering or similar with experience in (medical) image analysis and/or machine learning. Affinity or experience with biomedical research (sequencing techniques