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high performance an advantage. The candidate must have proof of excellence in research as demonstrated through publications in refereed journals and presentations at scholarly conferences
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probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance an advantage. The candidate must have proof of excellence in research as demonstrated
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tasks, in accordance with applicable provisions. More about the position The position requires an innovative, active and strong research profile with excellent documented potential for performing high
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. Python, C++, or similar) Experience with analysis of Hi-C (or related) data Experience with the use of high-performance computing (HPC) systems Proficiency in UNIX/Linux and Bash/Shell scripting Experience
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. Desired qualifications: Experience from field work Experience with high performance computing (HPC) Experience with supervision of students All candidates and projects will have to undergo a check versus
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qualifications: Experience with high-performance computing (HPC) environments is a plus Previous modeling experience for relevant tasks (e.g. event extraction or other structured information extraction tasks) will
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able to document previous publications in top-level journals. Desired qualifications: Experience from field work Experience with high performance computing (HPC) Experience with supervision of students