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. Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students. The candidates should have A Ph.D. in Mathematics (be near completion). A
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Mathematics Appl Deadline: 2025/09/15 11:59PM (posted 2025/08/28, listed until 2026/02/28) Position Description: Position Description AI is starting to influence mathematical research, from hypothesis
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] Subject Area: mathematical biology Appl Deadline: 2025/09/15 11:59PM (posted 2025/08/22, listed until 2026/02/22) Position Description: Apply Position Description The Department of Mathematics at Iowa State
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: Probability Theory, Geometry and Analysis Appl Deadline: 2025/09/25 11:59PM (posted 2025/08/25, listed until 2025/09/25) Position Description: Apply Position Description The Department of Mathematics
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, item 1571, consolidated text). At the moment of employment, the candidate must hold a PhD degree in mathematics or related fields. The degree must be obtained no earlier than 7 years before the year of
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list of the benefits programs offered is available on the BU HR website. Postdoctoral associates in Mathematics and Statistics have office space in the new Center for Computing & Data Sciences, Boston’s
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PhD in Mathematics, Physics, Engineering or a related field deemed appropriate by the Selection Committee. * Comply with the provisions of Article 7 of the FCT Grant Regulation No. 950/2019* * mandatory
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 4 days ago
-09249 Requirements Skills/Qualifications Essential: PhD in quantum information, mathematical physics, theoretical computer science, or related field. Research experience in quantum error correction
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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