289 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"PDI-Service"-"UCL"-"https:" positions in Denmark
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department organization, research, and teaching, please visit the department’s website . Requirements and programme structure As a PhD Student you will follow an individual PhD plan including course work
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postgraduate (PhD) levels. Responsibility for program and curriculum development. The capacity to maintain and develop relationships with relevant stakeholders and to actively promote and participate in DIAS
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for experimental research and data analysis. Excellent written and oral communication skills in English are prerequisites. Additionally, experience with programming and/or mathematical modelling is an advantage. Due
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department has approximately 280 employees, 100 Ph.D.-students enrolled in the Doctoral School in Medicine, Biomedical Science and Technology, and 1,500 students in our bachelors and master’s programs. We hold
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master’s degree programs within biomedical engineering, medicine, medicine with industrial specialization, biomedical engineering, sports science, public health, and clinical health and technology. Our
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) multiscale fluid simulation methods (CFD, LBM, PNM, MD) scientific programming (Python, C++, git) microfluidic experimentation Why Join SDU Sønderborg? The SDU Energy Systems Group at CIM is a dynamic
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Support users of the R&D Kitchen in their respective projects, offering advice, guidance, and/or collaboration on a case-by-case basis Plan, carry out, and lead own culinary R&D projects for sustainability
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program, financed by the Villum Foundation, focused on the sustainable reuse of decommissioned wind turbine blades - made from fiber-reinforced polymers composites (FRP) – repurposed for civil construction
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experience, teaching skills, and teaching philosophy a research plan detailing the candidate’s ideas and plans for her/his future research work For technical issues, please contact: hcm-support@sdu.dk Please
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total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities