129 programming-"the"-"DAAD"-"U"-"Prof"-"IMPRS-ML"-"O.P"-"Leibniz" positions at Technical University of Denmark in Denmark
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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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: 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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technology for people. With elite international research and education programs, we aim to create a better world and tackle global challenges. Founded in 1829 by Hans Christian Ørsted, DTU continues to pursue
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its
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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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, 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
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group. Good communication skills in English, both written and spoken. Willingness to collaborate
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. Knowledge of compilers, especially an LLVM-based compiler tool chain, program analysis, and computer architecture. Knowledge of real-time systems. Systems programming and C/C++. We offer DTU is a leading
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Thermodynamic modelling of phase equilibrium related to CO2 capture and/or storage. Integration of models and algorithms into CO2 capture simulation or storage simulation. Strong programming skills and solid