43 assistant-professor-computer-science-data Postdoctoral positions at Nature Careers in Germany
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Your profile: Strong background in molecular and cellular biology techniques Experience with experimental design, data analysis, and scientific writing We offer you: EGYM well pass, corporate benefits
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by Prof. Dr. Matias Simons is recruiting a motivated postdoc to lead research projects in lipid cell biology and metabolism with the help of the Drosophila model. The mission of the Nephrogenetics
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, Molecular Medicine or a related discipline a high interest in immunological research questions profound experience with Drosophila work experience with large biological datasets and omics data, ideally (scRNA
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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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WissZeitVG. Profile: completed academic university degree (Diploma, Master's or equivalent) in microbiology, molecular biology, biochemistry, chemistry, bioinformatics, computational biology or a related field
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in Dresden. For a doctoral position in the research group “Laser Science and Technology” located at DESY, we are looking for a Postdoctoral Scientist / Researcher (all genders) in the field of ultra
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applicant with a strong background in the (electrophysiological) characterization of membrane transport proteins Proficiency in structural biology and/or bioinformatics and/or data-driven protein design
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funding/ securing grants REQUIREMENTS: Doctorate/PhD in life sciences, human medicine or related fields Successful postdoctoral experience in the area immunology or cancer immunology including excellent
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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in system
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electrophysiology, calcium imaging, optogenetics, animal behavior is preferred, but we are interested in applicants with different backgrounds Background in data analysis, image processing, physics, engineering are