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research groups (50 PhD students and postdocs) that share a state-of-the-art cleanroom for nanofabrication and characterization and many other facilities. Qualifications You have a degree in physics or
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learning) and model-driven (physics-based) methodologies. Our goal is to integrate the precision of computationally intensive atomistic models into macroscopic approaches, while drastically reducing
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Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable
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Physics and Science Education Reference number V34.7563 Job description From a scientific perspective, contact line motion remains a challenging subject for both theoretical, experimental and numerical
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Research Group at Eindhoven University of Technology! We are seeking a highly motivated PhD Researcher with a passion for quantitative microscopy and physical chemistry of self-assembling materials to join
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Engineering and Technology). Data science has three clusters: DAI (Data and Artificial Intelligence), PA (Process Analytics), and VIS (Visualization). The PhD position for which this call is, is in the cluster
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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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Irène Curie Fellowship No Department(s) Applied Physics and Science Education Reference number V34.7525 Job description Are you inspired by (analogies between) the physics of soft-matter systems and
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service life, avoid electrical damage, use the contact as an in-situ sensor, and manipulation of the friction can become accessible. We plan to develop a physical understanding of the electrical properties
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physics or in a physics related discipline. In particular, we want the candidate to have expertise in a branch of optical imaging, and development of experimental setups in, in combination with a skill set