726 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "UNIV" positions in Denmark
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Your application will be assessed by Dr. Apurv Dash, Prof. Poul Ægidius Norby and Prof. Wolff-Ragnar
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: Experience with numerical climate models and/or chemical transport models such as CESM and/or GEOS-Chem. Advanced programming skills in Python, Fortran, or other relevant languages. Experience in wildfire
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and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
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foci of the degree programmes, the successful applicant will be expected to teach in both Danish and English. The successful applicant must complete Aarhus University’s teacher-training programme for
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are to: Build a value chain decision-making tool based on mixed-integer linear programming Develop sensitivity and uncertainty assessment algorithms to assess various scenarios in a biofuel value chain Support
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interaction with industry and individuals. The department offers a wide range of courses and programs at bachelor, master, and PhD levels across DTU's study programs. The department has 250+ employees with
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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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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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) 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
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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