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University of Würzburg and Helmholtz Institute for RNA-based Infection Research, GERMANY 1 PhD student & 1 Postdoc Position Specialized metabolite functions during gut microbial interactions in
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professional groups work hand in hand to provide our patients with optimal treatment. PhD position / Postdoc position (m/f/d) in Cancer Genomics and Oncogenic Signaling Full- or part-time | temporary (12 month
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable Robotic Material
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stakeholders, and FORM is a key founding player in CSlib’s steering and technical leadership . Who we are looking for We are looking for candidates who possess (or are nearing completion of) a PhD in Computer
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
, technical reports, participation in conferences) Is Your profile described below? Are you our future colleague? Apply now! Education PhD in natural sciences, material sciences, biotechnology, nanotoxicology
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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of researchers to develop new stable co-electrocatalysts using high-throughput synthesis and screening and evaluate them for activity and selectivity towards methane or syngas. You will have a PhD in chemistry or
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. The Medical University of Vienna provides an excellent research environment including state-ofthe-art research core facilities and an international PhD program and various platforms which bring together
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high-dimensional, dynamic, networked system, applying techniques from machine learning, causal inference, statistics, and algorithms. No prior biomedical training is required—just strong quantitative