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, microplastics; by means of numerical and experimental approaches including high-performance computing, data science methods via machine learning/AI and digital twins, enhancement, development and of application
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credentials. Required qualifications: Master’s degree or equivalent in in geomatics, geosciences, computer science/data science/statistics, physics, mathematics, environmental sciences, geophysics or similar
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of Primorska – PhD study program Renewable Materials for Healthy Built Environments. The employment relationship will be established on a full-time basis (40 hours per week, 100%) for a fixed term of 12 months
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) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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) and the ML group at UiT, with members from the departments of Physics and Technology, Mathematics and Statistics, and Computer Science. via Unsplash What skills are important in this role? The Faculty
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instrumentation, physical modelling, sensor technology, or experimental validation is advantageous. Experience with three-dimensional modelling, computer-aided design (CAD), or additive manufacturing (3D printing
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Qualifications Education PhD in Physics, Physical Engineering, Computer Science, Mathematics, or other related field. Experience and Technical Skills Research experience in quantum information and computation
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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Engineering, Process Engineering, Data Science or a related field or a foreign degree equivalent to a PhD degree inChemistry, Chemical Engineering, Materials Science, Metallurgical Engineering, Chemical
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, supervising students from undergraduate to MSc and PhD levels. You will help broaden the School's strengths, including opportunities at the interface of applied and pure mathematics. What you will deliver