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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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The Max Planck Institute of Molecular Physiology seeks to fill: PostDoc Position (m/f/d) in Structural Biology of Membrane Protein Complexes A fully funded postdoctoral position is available in
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& Poliklinik für Innere Medizin C About Us The scientific focus of the Krönke Lab is on investigating the role of the ubiquitin-proteasome system in tumor biology and therapy. The aim of the project is to study
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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their arrays; (v) analyzing the data, publishing high-impact results and presenting them at conferences, and (vi) collaborating extensively with other leading research groups at SHARPS, elsewhere in China
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
, environmental or food) chemistry or a closely related discipline. The candidate should have experience with non-target screening (or metabolomics) of environmental contaminants and related data analysis, have
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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ERC-funded postdoctoral fellow in theoretical developmental biology, using tools from applied mathematics, biophysics, and machine learning A talented and creative researcher is sought to take part
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and