742 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" positions in Denmark
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of at least one object-oriented programming language (especially C+) and a database management system. Knowledge of CAPE-OPEN specification (a platform for connecting user model with chemical process
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degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical/administrative employees who are cooperating across
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education within the department’s scientific areas. We educate both Bachelor and Master of Science in Engineering and around 825 students are enrolled in our study programs. Furthermore, we also offer
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. Experience with digital twin modelling and validation of energy system solutions will be an advantage. Strong programming skills in Python, MATLAB or similar environments are required, and it will be advantage
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PhD-students, post docs and permanent staff. Teaching in the mathematics-economics programme as well as teaching mathematics and statistics at the study programmes in Engineering and Social Sciences
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. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 425 academic employees and the same number of PhD students
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conducts research, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and
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general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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MSc programs. Complete list of publications, indicating which publications are most relevant for the position. Research plan Please provide contact information for up to three individuals whom we may
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) using a novel cell culture model. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics