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Field
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projections. Demonstrated experience in working with large data sets. Strong programming skills (e.g. Python, R) and ideally experience in high-performance computing. Demonstrated ability to work in a team
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fellow will carry out the development of theoretical and methodological formalisms in relativistic quantum chemistry, as well as their implementation (Python). The position is within the BRUNCH project
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requires a strong background in statistics and experience implementing analyses using scripting languages (e.g., R and Python), as well as experience working with large, complex, and unstructured datasets
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publications see here: https://www.scilifelab.se/researchers/stefanos-stagkourakis/ Essential technical expertise (Required) This position is intended for candidates who can immediately operate at a high
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) must be met by the beginning of the employment. Other requirements are a good computational background (basic knowledge of R, Python or Bash programming languages) as well as experience in analysing
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qualifications: Strong skills in structural modeling (preferably discrete choice models or matching models). Proficiency in Python or R for data processing, modeling, and simulation tasks. Experience with large
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model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in
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to compute the predicted ZTs via first principles calculations. - Computer simulations: ML + DFT - Scripting (Python) - Analysis of the results + writing publications - The position is part of an ANR-DFG
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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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Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=6c12ed825… Requirements Research FieldPsychological sciences » PsychologyEducation LevelPhD or equivalent Skills/Qualifications