62 assistant-professor-computer-"https:" "https:" "https:" "https:" "Universidade do Minho CTAC" PhD positions at Technical University of Denmark
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of Bayesian optimisation Experience of numerical computing for optimal control, dynamical systems, Bayesian inference and Bayesian optimisation. Experience of running controlled fermentation experiments
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, machine learning tools, and simulation techniques. If you thrive at the intersection of engineering, data, and advanced computational science, this position will allow you to contribute meaningfully
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in the group of Niels Engholm Henriksen (https://www.kemi.dtu.dk/english/research/physical-chemistry ). You must have a solid foundation and interests in quantum chemistry, applied mathematics
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to take up the challenge of designing, developing and applying advanced X-ray imaging methods by combining experimental and computational approaches in physics. You will be working with laboratory X-ray
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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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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will
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biotechnology, bioengineering, or a similar field. You will work under the supervision of Tenure Track Assistant Professor Dr. Raphael Ferreira. Your project will focus on developing clinically relevant genome
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interdisciplinary collaboration. This PhD project is focused on numerical simulation of resistance spot welding with existing electro-thermo-mechanical finite element modeling as a foundation. Computational fluid
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rules for the PhD education . Assessment The assessment of the applicants will be made by Tenure Track Assistant Professor Miguel Steiner and Professor Tejs Vegge. We offer DTU is a leading technical
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Mechanical Engineering, Technical University of Denmark, may be the right next step for you. The project investigates how meso‑ and microscale modelling of storm events and other weather conditions can help