20 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"FEUP" positions at Umeå University
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data. • Programming skills in R and Stata or similar software. • Experience of intersectionality-informed health research. • Very good written and oral English language skills. Meriting qualifications
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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and
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development. Work responsibilities The candidate will lead a multidisciplinary research program investigating the genotoxic and epigenetic effects of NPs. Responsibilities include developing mutagenesis assays
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examination and expected examination date). • Research plan (max. 2500 words including references) describing the research you plan to conduct within the scope of the position • Contact details for 2 references
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proficient in the project related areas, and in particular regarding: Machine Learning, Numerical Methods, Probability Theory, and Bayesian Methods and MCMC Algorithms. Proficient programming skills is a
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plan and execute experiments, and to make progress on their own initiative, are highly welcome to apply. As an employee with us, candidate can contribute to fostering an inclusive culture and a positive
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educational programs in both Computing Science and Informatics, we are now seeking a doctoral candidate with a focus on AI models and policy applications for climate risk communication. This position is a
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educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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devote his-/or herself to his/her own education. More information about the doctoral education program at the Faculty of Medicine can be found at www.umu.se/en/faculty-of-medicine/education/doctoral
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, microRNA biology, protein biochemistry, and/or plant molecular biology. The ability to independently plan one’s work, deepen understanding of the research question, and collaborate effectively within a team