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Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside of the EU/EEA-area and who do not have English as a native language, must document
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. Experience with cell type specific interactions is an advantage. Experience in other programming languages than Python is an advantage. Statistical knowledge (survival analyses, linear regression, etc.) is an
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Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside of the EU/EEA-area and who do not have English as a native language, must document
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other programming languages than Python is an advantage. Statistical knowledge (survival analyses, linear regression, etc.) is an advantage. Working experience in interdisciplinary teams (i.e. in medicine
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planetary science instruments The Post Doc candidate must have experience in Python programming The Post Doc candidate must be eligible to be able to join the NASA Mars 2020 Science Team. The Post Doc
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knowledge of IRT models, a basic understanding of common estimation methods, and strong programming skills in R, Python, or another relevant computing language. Experience with machine learning methods is a
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. Previous programming experience (C++, Python or Fortran are the most relevant languages). Experience with modern coding workflow, and in particular revision control, and code testing. Previous experience
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. Experience in scientific programming (e.g., Matlab and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured
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and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
integration, processing, and modeling. Familiarity with research methodologies related to innovation and sustainability. Competence in programming languages such as Python, R, or Stata. Contact information