10 data-science-phd-"https:"-"UCL" Postdoctoral positions at Nature Careers in Germany
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Requirements: Master’s degree or PhD in biology, ecology, environmental sciences, marine sciences, or a related field Ability to work with complex ecological or environmental datasets Experience with data
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potentially co-supervise a PhD student PhD level: Develop a focused doctoral project embedded within work package 2 Requirements: Master’s degree or PhD in marine biology, ecology, biogeochemistry, oceanography
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational physics
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: Develop and complete a doctoral dissertation aligned with work package 1 objectives Requirements: Master’s degree or PhD in Oceanography, Climate Science, Physics, Biogeochemistry, Earth System Science or a
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11 37077 Göttingen Germany https://www.mpinat.mpg.de/grubmueller Social Media: CompBioPhys Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during
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but also in a team you hold a PhD in life sciences (e.g. molecular biology, biochemistry, genomics, computational biology or related areas) you have experience in NGS-based assays and NGS data analysis
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at national and international levels Organization of scientific collaborations Supervision of technical staff within the research project REQUIREMENTS: University degree in Biology (or a related discipline) PhD
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opportunities within the faculty and beyond in research centers like the Campus Centre of Biodiversity and Sustainable Land Use (CBL) or the Campus Institute Data Science (CIDAS) various opportunities
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Mechanobiology, Stem Cell and Bone Marrow Niche Biology, or a related field Professional experience in cell mechanics research Professional experience with confocal microscopy and data visualization Professional
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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