135 programming-"the"-"DAAD"-"U"-"Prof"-"IMPRS-ML"-"O.P"-"FCiências" positions at Technical University of Denmark
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airborne geophysical observations, and strong competences in Arctic fieldwork logistics. The gravity research group has carried out airborne gravimetry since the 1990s and has an annual work programme to
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. Demonstrated excellence in research, evidenced by a strong publication record and a well-developed plan for future research and high-quality publications. Demonstrated capacity to deliver excellent teaching
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-time position. The assistant professor 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
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
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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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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
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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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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: 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