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the start of employment, in bioinformatics, computational biology, computer science, data science, statistics, systems biology, or another relevant discipline Strong programming skills in Python and/or R
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science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting
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algorithm development using Python or equivalent programming languages is considered an asset. Given the highly international and collaborative nature of the research environment, strong presentation and
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research, fluency in English and good communication skills are expected. We expect good programming (e.g., Matlab or Python) skills and prior experience in space physics research. Prior experience in using
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of high-quality scientific publications, experience working with real-world health data is a plus Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms
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Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch, and familiarity with multimodal data
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or programming software (e.g. Stata, SAS, R or Python) Experience of advanced longitudinal modelling, including time-to-event models, mediation analysis and causal inference approaches Excellent communication
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hardware design: Verilog/SystemVerilog RTL, logic synthesis, and place-and-route Be familiar with Python programming Have a working proficiency in English. (Finnish language is not required.) The following
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Electronics, data acquisition and/or scientific programming (e.g. Python) Simulations (e.g. SimIon or Comsol) and/or data analysis Strong motivation for experimental research, excellent problem-solving skills
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Experience with literature curation, systematic review/evidence mapping, omics data analysis or basic bioinformatics Familiarity with R, Python or another programming language Experience in toxicology