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Field
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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-frequency eddy current sensor validated against real ROT measurements; (3) a real-time physics-constrained state estimator integrating JMAK transformation kinetics with the EM forward model; and (4) a model
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challenges. Our eight institutes—ranging from mathematics, computer science, astronomy, physics, chemistry, and biopharmaceutical sciences to biology and environmental sciences—together with the Lorentz Center
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software. Required selection criteria You must have a professionally relevant background in Applied/Numerical Mathematics, Physics and/or Ecology with a solid education in numerical methods for solving
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of full-time study. Eligibility: This studentship is available to home students only. The candidate should have a good 2.1 Bachelors, or Masters degree in Engineering, Computational or Physical Sciences
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PhD position in detector development for the next generation of cryogenic dark-matter axion exper...
well as to theoretical physicists in the Department of Mathematics and Computer Science. Essential qualifications include a strong motivation for fundamental research a solid background in particle physics experience with
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engineering physics, nuclear engineering, applied physics, energy engineering, computational science, applied mathematics, statistics, machine learning or another area relevant to the project, or have completed
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master's degree in computer science, mathematics, or related subjects. A solid background in cryptography, algorithms, discrete mathematics, or a related area. Strong analytical and problem-solving skills
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complex environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design
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. Multidimensional Imaging Criteria: A strong background in physics, mathematics, engineering or related quantitative disciplines with an interest in developing next-generation transmission electron microscopy methods