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: Expert knowledge on coupled 3D hydrodynamic-biogeochemical models and agent-based models Expert knowledge of marine physical- and biogeochemical processes in coastal and/or open waters Very good skills in
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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, Greenland glaciology, statistical analysis of proxy data. You should have good analytical and problem-solving skills and be motivated to develop quantitative approaches that connect geological records of past
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modelling is a bonus. Good verbal and written communication skills, especially in Danish, will also be valued. International applicant? Aarhus University offers a broad variety of services for international
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well as more applied projects. While most of the work will involve technical machine learning research, you will also have access to clinical experts and will be expected to collaborate closely with other
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experts. Shortlisting will be applied. This means that after the application deadline, the head of the department, with the assistance of the hiring committee, will select the applicants to be assessed. All
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experts and will be expected to collaborate closely with other researchers in the Faculty of Medicine and at Aalborg University Hospital. Applicants should have: A strong technical background in machine
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are looking for the following qualifications: Good competences in social science methods, e.g. interviews, focus groups and/or surveys Knowledge of research integrity and/or philosophy of science Relevant
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candidate therefore has a high academic level and a good grasp of research designs and methods. Strong computational skills are necessary. The application deadline is 15 September 2026, at 11.59 PM/23.59