329 computer-science-programming-languages-"Prof"-"University-of-Strathclyde" positions in Germany
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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. YOUR RESPONSIBILITIES Develop an original research program that leverages unique numerical experiments to test different hypotheses or uncover novel mechanisms Supervise doctoral and postdoctoral
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in inorganic synthesis and/or Schlenk-line preparations Experience with scientific programming (e.g., MATLAB, LabView) is advantageous Experience performing quantum chemistry computations (e.g., DFT
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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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. The candidate will have the opportunity to obtain additional external funding and develop an independent research program during the postdoctoral training. We are looking for an enthusiastic scientist with a
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. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral
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to fulfill the aims of this projects, computational chemistry aspects of the project will be co-supervised by Dr. Mehedi Davari at the IPB (Projects: Leibniz Institute of Plant Biochemistry English ) and
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English ) and Chemical synthesis by Professor Martin Weissenborn at MLU ( AG Prof. Weissenborn ) Our Research Training Group BEyond AMphiphilicity – BEAM – combines highly original science and research
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the LandesTicket Hessen (Hesse StateTicket), in addition to opportunities to working mobile at times; Fit and healthy – free of charge preventive medical check-ups and a wide-ranging subsidised sports programme
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort