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data to develop predictive models. Experiences within numerical modelling of coastal processes is considered an asset but is not mandatory. You are able to work independently and systematically, and you
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qualified for this position, you must meet these academic criteria . Principal supervisor Deirdre Cronin Fenton, PhD, Professor Phone: +45-87168209 / E-mail: dc@clin.au.dk Department of Clinical Epidemiology
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
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. Responsibilities: Conduct research in compilation, optimization, and analysis for time-predictable computer architecture. Co-supervise MSc and PhD students. Contribute to teaching and research proposal preparation
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for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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types of primary data like own surveys and secondary data collected by third parties. The ideal candidate for the position will be a recent PhD graduate with a deep interest in this domain who can provide
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Job Description DTU Space is looking for a post doc to engage and strengthen their long-term activities in airborne gravimetry. The position involves both state-of-the-art research development and
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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qualification, you must hold a PhD degree (or equivalent). Further information Further information may be obtained from Professor Mayank Jain, maja@dtu.dk , +45 4677 4909. Application procedure To apply, please