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Field
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, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine Learning and/or Crystallography would be particularly suited for this project. This project will
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foundation in mathematical and control theory is essential for conducting this research. The applicant should have a relevant degree, ideally with a background (or strong interest in developing knowledge) in
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the intersection of mechanics and machine learning. - Bachelor/Master’s degree in Civil Engineering, Mechanical Engineering, Applied Mathematics, Computational Science or related areas. - Background in computational
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of Geochemistry stipulates that applicants must normally have: At least 90 credits in geosciences At least 30 credits in mathematics, physics, chemistry and/or biology. In addition, at least 60 credits at
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To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group The IMPACT research...
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18 May 2024 Job Information Organisation/Company Università degli studi di Bergamo Research Field Mathematics Computer science Chemistry Physics Biological sciences Medical sciences Engineering
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comments Candidates must hold a master's degree in physics or be about to obtain one. A good knowledge of particle physics, mathematical methods of data analysis and computer programming is required
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Laboratoire I3S - CNRS (UMR 7271) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 4 hours ago
Specific Requirements A master’s degree in computer science, electrical engineering, bioinformatics, applied mathematics, or a related field. Familiarity with error-correcting codes or information theory
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, mathematics, or industrial engineering. Please upload your bachelor’s and master’s degree. MPhil or Research Master's degree is preferred Candidates with an MSc or MA degree are are required to successfully
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, you will also work on analysing the theoretical properties of these algorithms using the mathematical framework of randomised complexity theory. You will be part of both the Probabilistic Graphical