56 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Nature Careers in Germany
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, and positioning for subsequent fundraising and go-to-market activities Actively contribute to securing follow-up funding together with the fundraising team Your profile University degree (MSc or PhD) in
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vision to pave the way to a sustainable future through applied life sciences. The Industrial Biotechnology Department, headed by Dr. Stefan Jennewein, at the Fraunhofer Institute for Molecular Biology and
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: According to §110 (4), sentence 3, the BerlHG provides academic staff with an appropriate amount of time within their working hours for their own further academic qualification. What we are looking for PhD
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fusion energy research Work in an excellently equipped research centre with cutting-edge laboratories and on-site computer clusters No teaching requirement, you can spend your working time for research
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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in system
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of reports, publication of results Your qualifications: Completed university studies (M.Sc./ M.Eng.) and PhD in polymer science or a comparable field of study Relevant experience in thermal analysis and fire
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, computational drug repurposing, and de novo design of novel protein-based therapeutics. Our work also includes developing gene editing strategies to correct or inactivate mutations associated with severe
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
apply machine learning/AI methods for ecological analyses Expedition experience Further Information The AWI is characterized by The AWI is characterized by our scientific success - excellent research
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extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation
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change #utilize a participatory system dynamics modeling to match resilience patterns with best-fit learning cases from various regional contexts in Europe #develop a resilience performance framework for