16 fully-funded-phd-program-computer-science-eth Postdoctoral positions at Nature Careers in Sweden
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The two Swedish Centres of Excellence, Umeå Centre for Microbial Research and Umeå Plant Science Centre at Umeå University , are running the ‘Excellence by Choice’ Postdoctoral Programme in Life
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Postdoctoral studies in single-cell and computational biology Do you want to contribute to top quality medical research? A postdoctoral position is available in the laboratory of Professor Francois
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regenerative medicine. Duties The field of synthetic biology is highly interdisciplinary, combining advanced molecular tools (e.g., CRISPR-based genome engineering), computational algorithms, and DNA/RNA
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Technology, with approximately 200 employees, including around 40 PhD students, and features strong and expanding research. The department is located at the Chemical Biological Centre (https://www.umu.se/en
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Biology The Department of Laboratory Medicine At present, the institute has about 340 employees and approximately 450 million SEK in total assets. This open postdoc position is in association with Professor
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during infection using machine learning Detailed information on and specific requirements for each project is given below. The IceLab Multidisciplinary Postdoctoral Program funded by Kempestiftelserna
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to illness, parental leave, clinical service, trade union duties or similar circumstances. The PhD degree should be in a computational or life science field, such as bioinformatics, ecology, mathematics
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genetics and handling, developmental biology, neuroscience, molecular and/or cell biology with a keen interest in developmental neuroscience. A doctoral degree (PhD or equivalent) in one of the following
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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are seeking a postdoctoral researcher with a PhD in AI-based computational pathology, or related field, with experience in development or application of deep learning methodologies. Knowledge and expertise in