108 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Nature Careers in Germany
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Job Id: 11716 Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics We are UKM. We have a clear social mission and, with our focus
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are described here . Research Environment The University of Konstanz has been successful in the German Excellence Initiative and its follow-up programme, the Excellence Strategy and is among the most highly
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ideas from the lab to real-life applications, improving lives. Helmholtz Munich invites outstanding early-career researchers (f/m/x) to apply for the Health AI Fellows (HAIF) Program , a unique
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, computational, epidemiological, prevention, and translational cancer research. Located within Heidelberg´s thriving biomedical campus, DKFZ fosters an interdisciplinary collaborative environment that drives
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of inquiry, showcasing how curiosity spreads through collaboration, creating a ripple effect of positive change. The program seeks to nurture a new generation of researchers who will use curiosity to combat
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science, to be obtained latest by the start of the program in September 2026 Practical experience in the lab working on scientific projects Excellent English language skills and the desire to work in a
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biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map
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, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The project focuses on the comprehensive characterisation of the zygotene cilium and
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, biophotonics, light-enabled nanotechnology, nanophotonics, nonlinear optics, optical metrology, optical quantum technology, and ultrafast spectroscopy. The research program of the candidate is expected
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combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Eble group investigates