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, Geosciences, Physics or Mathematics Knowledge of hydrological and meteorological processes and flood risk concepts Experience in statistics, particularly extreme value statistics, and stochastic simulation
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applicant has a strong background in computational biophysics, as well as data analysis and solid English-language skills. Previous experience in modeling G protein-coupled receptors or membrane proteins is
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of experience-dependent behavioral change Readiness to contribute to task development (e.g., scanner-compatible hardware) Experience in conducting and analyzing cognitive neuroscience experiments Knowledge and
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 3 months ago
about their research activities at https://barber-lab.com . Adaptation to changing pH and salinity is essential for fungal pathogens to cause disease and is increasingly important in the environment due
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
control during embryogenesis. We are seeking a motivated, independent scientist with experience in RNA biology, molecular/developmental biology, biochemistry and/or computational analysis of sequencing data
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
, scientific curiosity, and commitment to scientific excellence. Hands on experience with optics, fiber optics, sensors, miniaturized systems design and development. Programming skills in C++ and MATLAB
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applications for the position of a Research Assistant (PhD Candidate / Postdoctoral Researcher (m/f/d). (Pay grade TV-L E13, 100%; relevant professional experience is recognized in accordance with TV-L
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: Causal Inference, Statistics, Deep Learning, Bioinformatics Expertise with deep learning frameworks Expertise in programming languages such as R or Python Experience with advanced deep learning frameworks
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
) in a relevant field, such as economics, geography, climate sciences, physics or mathematics experience in quantitative research, documented by relevant publications in peer-reviewed journals (for PhD
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Strong experience in machine learning and/or deep learning, ideally with sequence models (e.g. CNNs, transformers) applied to genomic data Proficiency in Python and common ML frameworks (e.g. PyTorch