20 programming-"the"-"IMPRS-ML"-"IDAEA-CSIC"-"RAEGE-Az" Postdoctoral positions at Forschungszentrum Jülich
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Deadline 19 Jan 2038 - 03:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Deadline 19 Jan 2038 - 03:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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forms of microscopy, Programming Our Offer: We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities
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/statistics (experimental design, evaluation, uncertainty quantification) Excellent programming skills in Python (C/C++ is a plus); experience with HPC environments (e.g., SLURM) is welcome Interest in
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Deadline 19 Jan 2038 - 03:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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of the programming languages Fortran and Python. Experience in modelling atmospheric aerosols on supercomputers Excellent communication skills in English, both written and spoken Ability to work independently and as
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Programming skills would be beneficial Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work
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with e.g. powder diffraction Experience with wet chemical synthesis, e.g. nanoparticles A distinct advantage would be: Experience with high-level programming languages, e.g. Python Knowledge in magnetism
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programming would be considered an asset. Proven record in publication of results in high-impact journals. Programming experience in at least one the following: C, C++, Fortran. Proven background in software
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication