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, Bengt Jonsson, Philipp Ruemmer, Kostis Sagonas, Wang Yi), as well as experts in programming languages (Johannes Borgström, Eva Darulova, Lars-Henrik Erikson, Sofia Ouhbi, Tjark Weber, Tobias Wrigstad
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, programming, running, and analyzing large-N surveys and survey experiments, making strong survey research skills essential to the position. The postdoctoral fellow will be expected to develop and
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technologies. Experience in one or more of the following areas is considered an advantage: Scientific programming in C++, Fortran, or related languages; scientific machine learning; Monte Carlo
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ability to communicate clearly Merits include: Knowledge of LLMs, deep learning, and Python programming Knowledge of power electronics Experience in modelling, simulation, and experimental work In an
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areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level: 100%. Commencement
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, forest inventory methods, environmental and tree-attribute measurements, spatial statistics, causal inference, and programming in R and/or Python. The studies will be conducted mostly as a combination of
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demonstrated interest in applying computational methods to cancer or other biomedical research. Programming skills in Python and/or R, and experience developing, implementing, and evaluating
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working with models of planet formation or galaxy formation Excellent numerical and analytical problem-solving skills, as well as experience with programming languages (e.g. Python and Fortran). Extensive
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spoken English. Documented experience of research related to the project’s themes, and of automated text analysis, is a strong merit. Further merits include experience of programming and of working with
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of using programming languages or statistical computing environments, such as Python, R, MATLAB or an equivalent tool, for data processing and analysis. good ability to work independently, formulate