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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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or returning for additional training, updating, and/or retooling. Limited to fields for which post-degree training is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming
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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or
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epidemiology. Interest in furthering their expertise in area of social epidemiology of chronic disease and aging. Proficiency in utilizing statistical software such as SAS, R, Python, or similar tools for data
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. Experience with high-throughput data analysis, including single-cell RNA sequencing, spatial transcriptomics, or computational immunology using R or Python, is a plus but not required. Excellent organizational
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and programming skills (Python preferred). Excellent written and verbal communication in English. Passion for exploring the frontiers of condensed matter physics. What We Offer · Pioneering
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observed in Molecular Dynamics simulations to support ongoing research efforts. Data management and computer-based data analysis skills (e.g., Python) are required. Interest and training in soft materials
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/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script & NCO & CDO, etc.) and have demonstrable expertise in the analysis of big data, while the experience with interpretation of climate
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, C, Matlab, …) Self-driven, highly