210 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" Postdoctoral positions at Nature Careers
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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The Department of Biotechnology and Food Science, Institute of Computational Biology is currently seeking a Postdoctoral Research Associate (Reference code 216) Extent of employment: 40 hours per
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Two Postdoctoral Researchers in Cell Delivery-Based Beta Cell Replacement Therapy for Type 1 Diabete
to educate and mentor motivated students and upcoming Cybersecurity professionals? Then, the Department of Advanced Computing Sciences is looking for you. We are looking for a colleague to strengthen our
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. Extensive experience in scientific computing involving programming, numerical analysis, symbolic and logical analysis, Monte Carlo simulations, and computer graphics. Experience in Matlab, Mathematica
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positions limited to 3 + 1 years, part-time 65 % 5 postdoctoral positions full-timelimited to 2 years one open level doctoral or postdoctoral position with wet-lab or computational focus Remuneration is
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researcher, you will work in the frame of the CHASSIS project funded by the Luxembourg National Research Fund (FNR) through the OPEN research program. CHASSIS ultimate goal is the discovery of new metabolites
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researcher will have teaching responsibilities in the newly established BA program in psychology. Your qualifications A PhD in psychology or a related field. Knowledge of community psychological research with
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for zone-based CT analysis” Implementation and evaluation of computed tomography measurements on several laboratory μ-CT systems in division 8.5 Support in the maintenance of the laboratory μ-CT systems in
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genome-wide CRISPR functional screening in both mouse models and clinical samples. Working closely with computational biologists and clinicians, this interdisciplinary project offers an exceptional
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission