518 programming-"the"-"DAAD"-"IMPRS-ML"-"UCL"-"U.S"-"FEMTO-ST"-"EURAXESS" positions in Denmark
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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have to: Participate in formal pedagogical training program for assistant professors. Participate in annual evaluations and a mid-track appraisal. After no more than six years of employment and on
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mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites
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environment in which that balance can be maintained. You can read more about family and work-life balance in Denmark. Aarhus University also offers a Junior Researcher Development Programme targeted at career
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the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information
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: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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qualifications include: Experience with traditional Intelligence analysis tools. Good programming skills in Python, or similar. Curiosity and interest in Agent-based Modelling, Simulation, and Computational Social
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, with a particular emphasis on column generation approaches. Column generation is a powerful decomposition method for solving large-scale linear and mixed-integer programming problems. Rather than