445 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"O.P"-"IDAEA-CSIC"-"Prof" positions in Denmark
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recognized research group and delivering research-based teaching at the Bachelor, Master & PhD levels. The chosen candidate is expected to establish effective and visible research programs, develop local and
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or dissertation project from the grade giving institution. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme. List of publications
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to disseminate
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period, the candidate will be expected to complete the SDU teacher training programme (https://www.sdu.dk/en/om-sdu/institutter-centre/c_unipaedagogik/universitetspaedagogikum ). About us The Department of
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. Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can
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detailing the candidate’s prior teaching experience, teaching skills, and teaching philosophy a research plan detailing the candidate’s ideas and plans for her/his future research work If you experience
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Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows Documented experience with ontology development, knowledge graphs, and
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engineering in Europe. The department conducts research, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit