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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is
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, integrity, and a strong sense of responsibility to reliably complete agreed research tasks. Required qualifications are: A PhD degree (or a foreign degree deemed equivalent) in Chemistry, Physics, Materials
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documented expertise in the following areas: A PhD in a relevant field, with experience in robotics, particularly programming of humanoid platforms An engineering degree in a field related to: Mechanical
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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• Analysis of quantitative and qualitative outcomes from pilot implementations Qualification and work tasks Candidates must hold a University PhD in Medical Sciences or of other relevant subjects. Candidates
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Qualifications for Project A To qualify for the fellowship, the candidate should hold a PhD degree, or a foreign degree that is deemed equivalent, in computational biology, biophysics, mathematical biology
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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is