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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness
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data 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
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 2 months ago
relevant information from ML models to understand the relationship between in- and output Experience in harmonizing and compiling real-world datasets from diverse sources Experience using Python or R and
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Infrastructure resilience under multi-hazard scenarios Model development and data analyses includes writing well-documented, reusable code (Python or R) Collaborate closely with fellow PhDs and project partners in
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data analyses includes writing well-documented, reusable code (Fortran, Python or R) Collaborate closely with fellow PhDs and project partners in an interdisciplinary context Present, publish and
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) Exchange with internal and external as well as national and international project partners Preparing scientific publications and project reports [1] Kaliakin, D., Shajan, A., Moreno, J. R., Li, Z., Mitra, A
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techniques is an advantage • Prior experience with Python and R programming is considered an asset • Highly motivated, team-oriented, and well-organized • Good English communication skills (spoken and
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or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness to participate in sea
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literacy and basic programming skills (R, Python), or the willingness to develop these skills Analytical mindset, with a keen interest in advancing proteomic methodologies We offer Cutting-edge proteomic
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) networks. Hydrology and Earth System Sciences, 22(11), 6005-6022. (2018). [2]. Chen, R. T., Rubanova, Y., Bettencourt, J., & Duvenaud, D. K. Neural ordinary differential equations. Advances in Neural