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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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to conducting animal experiments; FELASA course desirable, not required Experience with hiPSC cardiomyocytes desirable Independent data analysis and statistical evaluation (e.g. with Prism) Very high motivation
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to what extent a subsidy will be paid, will be reviewed and determined on an individual basis (see important information for scholarship applicants , section F, point 8) Please note: Health insurance
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tasks and seminars, training of new group members in laboratory techniques) Independent work ethic and desire to learn new methods and protocols Basic R computer programming skills Basic software skills
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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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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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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 hours ago
characterization and advanced approaches to data analysis, atomistic details of thermal catalysis and electrochemical reactions at gas/solid and liquid/solid interfaces are revealed. In particular, structure
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science and implement them in industrial practice as partners to industry. The department Biomedical Data Science & AI is dedicated to the development and application of cutting-edge data science approaches
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29.09.2025, Wissenschaftliches Personal About us The Professorship for Computer Architecture and Operating Systems at TUM Campus Heilbronn covers a broad range of research focus areas in computer
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analyses, data interpretation, and visualization of clinical trial datasets Perform comprehensive bioinformatics and statistical analyses of high-dimensional omics datasets (spatial, single-cell, and bulk