48 assistant-professor-and-data-visualization Postdoctoral positions at Nature Careers in Germany
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natural products for further investigation. The candidate will assist in the isolation and purification of natural products and the subsequent structural elucidation using NMR. When beneficial, chemical
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to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism
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Rosenbaum. Within the consortium, the junior research group of Robotic-assisted Discovery of Antiinfectives (https://www.leibniz-hki.de/en/robotic-assisted-discovery-of-antiinfectives.html ) focuses
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
damage, and mechanical properties # Literature research, data analysis, and development of scientific concepts # Coordination of supplementary mechanical testing (e.g. fracture mechanics, small punch tests
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opportunity to work in an interdisciplinary environment of research excellence. For more information, please visit www.mdc-berlin.de/poulet Are you interested in exploring how the body and brain interact? We
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engineering, or a related discipline, with a clear and demonstrated focus on diabetes research. Experience with iPSC models and data analysis: Hands-on experience with induced pluripotent stem cell (iPSC
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology
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-clamp experiments High-throughput spinning disc confocal microscopy (Yokogawa CQ1) Data analysis Your qualifications Excellent and highly motivated applicant with a strong background in the
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in peer-reviewed journals Requirements Excellent doctoral degree in neuroscience or biophysics Experience in molecular biology, biochemistry, and electrophysiology; data science skills are also
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signaling and metabolism in a truly translational context to help patients? Apply, join and succeed in our team in the pursuit of improved understanding of heart failure with preserved ejection fraction