107 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Washington University in St" PhD scholarships in Denmark
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biotechnology, bioengineering, or a similar field. You will work under the supervision of Tenure Track Assistant Professor Dr. Raphael Ferreira. Your project will focus on developing clinically relevant genome
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position in experimental cognitive psychology to be filled by 1 September 2026 or after agreement. Information about CoInAct can be found at https://psychology.ku.dk/coinact/ Job content The PhD student will
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The assessment of the applicants will be made by Prof. Stephan Sylvest Keller (DTU Nanolab), Prof. Massimo De Vittorio (DTU Health Tech) and Head of Research Dr. Flurin Pfiffner (University Hospital Zurich). We
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here: https://ufm.dk/en/research-and-innovation/cooperation-between-research-and-innovation/researchers-mobility/the-special-tax-scheme-for-researchers Application procedure Your application must be
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. Interviews will be held in April/May 2026. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/ .
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recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . Based on the assessments, the most qualified applicants will be invited for interviews, which will be held from late May
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Your application will be assessed by Dr. Apurv Dash, Prof. Poul Ægidius Norby and Prof. Wolff-Ragnar
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resources, like source code, hardware design, videos, etc. A 2-minute video of yourself explaining why you are a fit for the position You may apply before obtaining your master's degree, but you cannot begin
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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, or equivalent) in Public Health, Medicine, Pharmacy, Epidemiology, or a related discipline • Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar) • Interest in