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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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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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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
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the position, you would also take part in teaching, mainly in our international MSc-programme in Logistics and SCM, by supervising master student thesis writing and taking part in PhD-student supervision