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The School of Mathematical and Natural Sciences at Arizona State University is seeking a postdoctoral research scholar to join Dr. Karen Watanabe’s research team. Dr. Watanabe’s research focuses
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» Computer engineering Engineering » Electrical engineering Mathematics » Applied mathematics Researcher Profile Recognised Researcher (R2) Application Deadline 16 Nov 2025 - 14:59 (UTC) Type of Contract
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disciplines, including biomathematics, biostatistics, and molecular biology. The candidate is expected to have a solid grounding in programming in R, Python, and mathematics/statistics.The main duties involved
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21 Aug 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher
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; theoretical cosmology, condensed matter, mathematical, and particle physics. Candidates for the position must have a Doctorate degree in Physics or a related discipline. To apply online, please visit https
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related field (e.g., statistics, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding
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2 Sep 2025 Job Information Organisation/Company CNRS Department Génétique et biologie du développement Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 22 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per...
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. The multidisciplinary expertise brought together in the laboratory includes physiology and psychology, as well as mathematics, economics, and medical disciplines such as neurology and psychiatry. Where to apply Website
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. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships
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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