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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 1 hour ago
, astrophysics, or a related field. Experience with numerical methods and scientific programming in Python, Fortran, C, or similar languages. Experience with turbulence, rotating flows, convection
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with large-scale data construction and empirical research • Programming skills (R, Stata, or Python) Applications should be sent by e-mail, together with significant documents, indicating the reference
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 1 hour ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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/automated chemistry Good programming skills, e.g., Python Very good written and spoken English skills You demonstrate a high level of commitment, initiative, problem-solving skills, and a willingness to
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) Experience in cellular and molecular biology, including histology and cell culture (required) Familiarity with using R and/or Python for answering biological questions (required) An enthusiastic and friendly
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and Python programming skills are an advantage. Passionate about science communication and cultivating collaborative relationships with industry professionals. Excellent written and spoken English. A
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, and sleep stages using Python Contributing to and shaping cross-species computational modeling Leading publications and presenting results at international conferences Mentoring junior researchers and
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Formal
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will