118 coding-"https:" "https:" "https:" "https:" "https:" "https:" "I.E" "Helmholtz Zentrum Geesthacht" PhD positions in Denmark
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the national and international research community (your supervisor and the department will support you in this), i.e., participate in conferences and present own work. The PhD fellow will be employed
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and society. We are a major part in implementing the 2030 vision of the Faculty of Medicine, i.e. to become leading within digital health and well-known for doctors and engineers finding solutions
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cell walls (i.e. the pores) of biogenic materials, and distribution of critical water in rigid materials prone to frost damage. The project is expected to deliver models for moisture transfer and storage
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interested in engaging with the national and international research community (your supervisor and the department will support you in this), i.e., participate in conferences and present own work. Be interested
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Intelligence, Data Science, Robotics or any other relevant field, prior to receiving admission into this PhD program, i.e., we accept applications from candidates expecting to finalize their studies within
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preparation for mass spectrometry analysis in the laboratory Learning of data analysis methods and code to understand mass spectrometry data Present your data at lab meetings and (inter-)national meetings
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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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. The duration of the position is three years. Your work tasks The PhD project is centred around advanced CFD modelling of liquid green fuel (methanol and ammonia) combustion under engine-like conditions, i.e., in
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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