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, Shanghai 200092, China [map ] Subject Areas: All fields of mathematics, including but not limited to: • Pure Mathematics • Applied Mathematics • Computational Mathematics • Mathematical Physics • Statistics
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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positions is to provide individuals, who have recently (within the past 6 years) completed a doctoral degree, with a full-time program of advanced academic preparation and research training under the guidance
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independently. Must be able to organize and manage a varied range of assignments and projects with high efficiency. Able to work with database, graphing, word processing, and statistical computer programs such as
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) Country Morocco Application Deadline 1 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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) Country Morocco Application Deadline 1 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Deadline 28 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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2 Sep 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Physics » Applied physics Physics » Statistical physics Researcher Profile Recognised Researcher (R2
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, Fisheries Science, Biology, Zoology, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong
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computational and experimental techniques. Play an active role in education and outreach in protein design, including contributions to teaching and mentoring activities. You must have a PhD in a relevant field