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Field
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of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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About us The Department of Chemistry is a dynamic and collaborative environment within the Faculty of Natural, Mathematical and Engineering Sciences, dedicated to cutting-edge research and academic
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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, computer science, mathematics, chemistry, engineering sciences and physics. In total, we are over 200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://icm.uu.se . The Deindl lab
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/ijtpp5030016. Required skills / qualifications________________________________ Diplomas : PhD in Engineering, Physics, Theoretical and Applied Mechanics, or Applied Mathematics Experience : None Knowledge
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skills / qualifications________________________________ Diplomas : PhD in Engineering, Physics, Theoretical and Applied Mechanics, or Applied Mathematics Experience : None Knowledge required: Contributions
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
positions) / a PhD (Postdoc positions) in natural sciences (i.e. Chemistry, Physics, or Materials Science) preferably with a specialization in theoretical chemistry, or applied mathematics An appropriate
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; delegate tasks and establish priorities. Perform other duties as assigned. Knowledge – Skills – Abilities Core Scientific Knowledge: Biology Chemistry Mathematics Statistics Laboratory and Technical Skills