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Field
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pressure-temperature sensors Conduct independent code development and testing in Python or python-based languages Joint interpretation of seismological data and tidal or modelling data. Prepare presentations
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and computational skills are required for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in (computational) Bayesian methods
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
programming language (e.g., Python) and in R Willingness and ability to work in both lab and field environments Very good English knowledge (approximately equivalent to CEFR level C1) Preferred Qualifications
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attitudes. The successful candidate is expected to contribute to the research project while also having time for independent research. There will be a very light teaching load Where to apply Website https
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview
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: agrivoltaics, ecovoltaics, solar PV performance modeling, biophysical/crop modeling, or techno-economic assessment (TEA) Advanced proficiency in Python or a similar scientific programming language, with a focus
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annotation; proficiency in R or Python; and excellent English. Experience with spatial transcriptomics and immunology of autoimmune diseases is desirable. Interested candidates should send a motivation letter