290 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" research jobs in Denmark
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of the following topics: Analog signal processing and circuitry Programming skills (particularly in C++, Python and ROS) Algorithms (statistical analysis) Electrode-tissue interface modeling Robotics (e.g
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nahuro@sund.ku.dk . Applicants may find the following links useful: Copenhagen Health Complexity Center: https://www.healthcomplex.dk/ University of Copenhagen: http://www.ku.dk/english/ Department
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programme cohorts. Facilitating collaboration between academic staff, students, and external stakeholders to ensure smooth and effective programme delivery. Supporting dissemination, evaluation, and quality
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part of a dynamic academic community of research, education and innovation within pharmaceutical sciences bridging health sciences and life sciences. Information on the department can be found at: https
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personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute
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. The duration of the position is 2 years. Your work tasks The position is offered in relation to the research program power electronics packaging materials and emerging applications, and the Research Assistant
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and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal
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an Expat Partner Programme Living and working in Denmark Subsidized childcare and free education from primary school through university. Universal healthcare for you and your family as residents. Five
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field Knowledge of freshwater ecology and/or physical limnology Experience with numerical modelling Experience with programming languages, esp. Python, and familiarity in NumPy, SciPy and Pandas
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research experience in wetland biogeochemistry Experience with stable isotope analysis and modeling Proficient quantitative skills with data analysis and programming in R An ability to collaborate within