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metagenomic sequencing data. Strong programming skills (e.g., R and Python). Experience with cloud computing. Excellent organizational and interpersonal skills, and a strong publication record. Desired
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previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc.) The candidate should have an
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 days ago
skills for data acquisition and analysis (e.g., Python, MATLAB, LabView) Excellent verbal and written communication skills in English Desirable skills Experience with experimental techniques, such as
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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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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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/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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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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in C++ or Python. Affinity with education and logistics. A proactive, independent working style. Eagerness to work on achieving societal impact. A Certificate of Good Conduct (VOG) will be required
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studies that extend across multiple scales. The Pioneer Center Land-CRAFT was established in June 2022 to undertake fundamental and applied research from field to landscape scales that will address