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affiliated with both the Faculty of Engineering (LTH) and the Faculty of Science at Lund University. Within CVML there are several PhD-level researchers as well as approximately 20 doctoral students. Research
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 1st September, or as
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The Department of Mathematics and Mathematical Statistics, Umeå University, invites applications for a two-year postdoctoral fellowship in data-driven analysis of a subarctic ecosystem near Kiruna
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, measuring of growth and wood properties at the laboratory, and statistical analysis and programming. Previous experiences in forest related subjects are desirable. Fluent English language, both in writing and
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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statistics. Required qualifications and skills: Solid understanding of maritime transport systems and risk assessment. Proven programming skills (to be demonstrated prior to starting the position). Excellent
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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freedom to develop related research questions in collaboration with the research team. A detailed research plan will be co-developed together during the recruitment process. You will join a vibrant
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processing Programming skills (e.g. Python or MATLAB) Statistical analysis A strong publication record * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met
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coast and in offshore areas. The position will also include further development of ongoing data analyses within the national data collection program (DCF), which plays a key role in improving our