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that yield valid statistical conclusions (inference) on causal effects when using machine learning algorithms and big datasets. The project is part of the research environment Stat4Reg (www.stat4reg.se ), and
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to conduct one's own postgraduate education. This includes, in addition to completing mandatory doctoral courses, using sequence analysis (including phylogenetics [both maximum-likelihood and Bayesian analysis
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to track structural changes in proteins as they work. More information about the research group is found at: https://cmb.gu.se/english/about_us/staff/?languageId=100001&disableRedirect=true&returnUrl=http%3A
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involving the emergent high velocity air fuel (HVAF) and high-power axial plasma spray (APS) processes. Two distinct research tracks envisioned for the PhD student positions are: (i) utilizing alternative
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projects on Web and Emerging Applications Security. Our research tracks include: • Web application crawling and security scanning (Black Widow , Black Ostrich , and Spider-Scents ) • Security and privacy
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well as a detailed plan to conduct fieldwork in Sweden, Finland or The Netherlands. Track record in sustainability, degrowth, postwork, social movements, or similar. Excellent English language skills
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for this position. Experience of working with tracking of impurities and chemical pollutants, wood waste recycling, or characterisation of secondary materials for use in various industrial value chains is an
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data