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journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science/biomedical engineering or of relevant scientific field A solid background
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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
opportunity to work at the intersection of thin film technology and biomaterials science, contributing to advancements in biomedical coatings and implant tech-nologies. Your profile: We are looking for highly
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
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PhD Student (f/m/d) position at Leibniz Institute of Virology The Leibniz Institute of Virology (LIV) is an independent research institution for basic biomedical research. LIV is committed
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mentorship in the career development of the student. The program language is English. We offer: a highly international research environment and state-of-the-art technology four years of full funding through
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: Master’s degree or equivalent in Neuroscience, Biology, Biomedical engineering, Life sciences, or a related field Experience with electrophysiological recording or neuroimaging would be beneficial
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
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disciplines ranging from interface and macromolecular chemistry to drug delivery and cancer therapy technology and seeks to make significant contributions to both fundamental science and practical applications
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cloning). Bacterial production of engineered proteins in E. coli or other microorganisms. Protein purification and characterization via IMAC, SEC, SDS-PAGE, WB, etc. Analysis of bacterial longevity and
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the