119 data-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation"-"Simons-Foundation" positions at Nature Careers in Germany
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you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society. University of Hamburg offers data-intensive fields of application and
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BC-Information Theorist (m-w-d)_E Fachbereich Biologie, Chemie, Pharmazie - Institut für Biologie AG Hiesinger Research assistant (Postdoc) (m/f/d) limited to 29.02.2028 (end of project
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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processes Experience with sensor technology and microprofile measurements Experience in data analysis with Excel or R, including sequence data analysis Practical field and ship experience, especially sampling
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translate data into robust, quantitative insight. The primary responsibility is to support and drive collaborative SyNergy projects; in addition, the role includes scientific contributions to a defined
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contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 10,000 employees of KIT cooperate in a broad range of disciplines in research
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“science enabler” and project-driver focus. You will run and evolve our tissue clearing and light-sheet imaging pipeline, support and manage collaborations across SyNergy, and help translate data into robust
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2330). More information about the Vogel lab can be found at www.helmholtz-hiri.de/en/ . Applicants should have a doctoral/PhD degree in molecular biology, microbiology, or biotechnology. Further
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initiatives at the interface of biology, AI, engineering and medicine. You will be part of a collaborative and forward-thinking team, contributing to the MDC’s vision of advancing human health through data
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-weighted magnetic resonance imaging to comprehensively characterize the tumor microenvironment (TME). Tasks will involve the development of improved biophysical models and corresponding MRI data acquisition