30 machine-learning scholarships at Eindhoven University of Technology in Netherlands
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motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together
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computing (SC)? Are you fascinated by the emerging field of machine learning (ML)? Are you our next PhD-candidate in scientific machine learning or SciML (combining SC and ML)? Are you eager to work on the
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Moments (NGMoM) model that efficiently models gas-gas collision and gas-solid scattering kernels. This model will incorporate detailed molecular interactions using machine learning algorithms to infer
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nanolithography technology, and are you fascinated by partial differential equations (PDEs) and machine learning? If yes, then this vacancy, a cooperation between ASML Research and TU/e’s Centre for Analysis
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models. Trustworthy AI is a major topic in machine learning, which is illustrated by the increasing number of initiatives to enforce AI systems to be more trustworthy. Although machine learning models
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Irène Curie Fellowship No Department(s) Applied Physics and Science Education Reference number V34.7526 Job description Are you inspired by combining physics-based models with machine learning
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) collaborating with machine learning experts (a second PhD student in USA) integrating personalised AI into meaningful assistive technology interventions (4) critically evaluating methodological approaches in
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on foundations for scalable and principled data management systems for data science and machine learning. Data scientists and AI researchers currently often miss out on many of the advances in the field
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of machine capabilities. However, learning these models requires direct access to vast data repositories, which poses significant privacy and logistical challenges, especially in the health sensing domain
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and Innovation Sciences. Since the research topic is at the intersection of psychology, human-computer interaction, and AI, you will be supervised by a team of researchers with complementary expertise