84 evolutionary-computation PhD positions at Technical University of Denmark in Denmark
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Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization
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technologies of the department, e.g., batteries and catalysts. The project includes collaboration with experimentalists at DTU, who will verify the computational predictions as well as Saltfoss Energy, our
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our enrolment requirements and the 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
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requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . It would be an advantage if you have taken some courses in stochastic optimization or advanced
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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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documented experience in at least one and preferably more of the following areas: computational solid- and/or biomechanics; finite strain hype elasticity; finite element methods; numerical optimization methods
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Investigator program “Power efficient fiber-optic communication (POPCOM). The position is focused on developing machine learning frameworks, in terms of constellation and pulse-shaping, as well as equalization
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programme, please see DTU's rules for the PhD education . Assessment The assessment will be based on the grades (translated into the Danish grading system), the CV, and the cover letter. Shortlisted
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. Experience with simulation tools, including Isaac Gym, Isaac Sim, Aerial Gym. Experience with ROS, and especially real-life aerial robots. Experience with open-source tools for deep learning, computer vision
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would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Ph.D.-student within BioAI. Read on to learn more! About the research program