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. The Institute’s main purpose is to address basic scientific questions through interdisciplinary approaches. The institute operates at the intersection of natural and medical sciences and the humanities. Information
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dynamics, data science, and machine learning are beneficial. What we offer: We offer a position with a competitive salary in one of Germany’s most attractive research environments. TUD is one of eleven
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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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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reporter assays Integrate omics data to identify functional variants affecting spermatogenesis REQUIREMENTS: A Master’s degree in Biology, Molecular Medicine, Biochemistry, Biotechnology, or a related
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PhD Position - Neuroinflammation & Glial Biology (f/m/d) Hertie Institute for Clinical Brain Research, Neuron-Glia Interactions Lab, index number 6604 Part-time: 65 % Limited: 3 years Start of work
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accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one of the world´s largest research projects, is being built in international cooperation. GSI and FAIR offer
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sciences and artificial intelligence, and translate your findings to improve human health? Are you excited to develop and use machine learning approaches to gain new understanding of the molecular physiology