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collaborative research environment. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a
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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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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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the supervision of Master and Bachelor students. You take part in the organization of meetings and conferences. This is part of your personality: Completed Master in Mathematics. Completed PhD in an area related
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Arab Emirates [map ] Subject Area: Mathematics Appl Deadline: (posted 2025/08/01, listed until 2026/02/01) Position Description: Apply Position Description The Division of Science at New York University
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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 18 hours ago
Research Group "Cluster Algebras" of Dani Kaufman has openings for PhD Student and Postdoctoral Researcher Positions. The group is based at the Max Planck Institute for Mathematics in the Sciences, a
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Educational sciences Environmental science Geography History Juridical sciences Language sciences Literature Management sciences Sociology Psychological sciences Mathematics Philosophy Political sciences
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all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Research and teaching statements Include
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position within a Research Infrastructure? No Offer Description About us The Department of Chemistry is a dynamic and collaborative environment within the Faculty of Natural, Mathematical and Engineering
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI