125 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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of this position is to bring together microbiology and biogeochemistry to effectively integrate biological and biogeochemical data that stem from laboratory incubation experiments to large scale environmental
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experience and visibility. Further information Complete applications (scientific CV, academic career, list of publications and lectures, copies of academic certificates, documentation of teaching
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, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D
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engineering. We are looking for talented people to join us. Your responsibilities include: Experimental and data-driven research for the development and validation of isotope sensitive molecular spectroscopic
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Experience in conducting complex laboratory experiments and test series, with experimental design and measurement data handling Good programming skills in Python Experience with hardware-related programming is
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. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Schlatt
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learn about state-of-the-art and emerging AI methods for clinical applications Your profile An excellent master's degree or a PhD in computer science, software engineering, data science, physics
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diseases. You will contribute to the acquisition of multi-omics data from cryopreserved patient-derived samples, working in close collaboration with clinicians to assess patient outcomes. You will present
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contractual term is a maximum of 3 months Upload your detailed CV with a list of publications, certificates and references Submit information on the scientific concept and work plans for the requested time
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highlight the potential of microbiome intervention in immuno-oncology. In our team, we actively integrate translational data, functional assays and preclinical models, to understand and overcome mechanisms