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privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna: http://ki.se/en/meb The gastrointestinal epidemiology group at the Department of Medical
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skills in experimental design, laboratory and field research on animals, statistical modelling and programming, evidence synthesis, climate modelling, open and reproducible research, scientific writing
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academic worlds in the heart of Gothenburg. At the Division of Applied Mathematics and Statistics , we conduct research in computational mathematics, optimisation, biomathematics, statistics, and data
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who holds a PhD in a quantitative discipline such as mathematics, statistics, or a related field, with applications in finance or economics. Candidates will be evaluated based on their publication
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microscopy, HSC transplantation and assays of multiple organs. Required skills: PhD in hematology, hematopoietic stem cell biology, aging biology or a related field At least one first-author publication in a
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. Specific Qualifications for Project E To qualify for the fellowship, the candidate should hold a PhD in a relevant field such as statistics, data science, computational biology, physics, or a related
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for the sustainable planning of wind power in forest landscapes. For more information, see: www.slu.se/forskning/forskningskatalog/projekt/w/windyforests/ Your profile You must hold a PhD in forestry, ecology