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] Subject Area: mathematical biology Starting Date: 2026/08/16 Salary Range: $58,656 Appl Deadline: 2026/01/09 11:59PM (posted 2025/12/04, listed until 2026/06/04) Position Description: Apply Position
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carries a teaching load of four to five (4-5) quarter courses per year and is supported by a formal faculty mentoring program. Applicants should have a PhD in Mathematics or a related field by the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of Mathematics, which benefits from extensive experimental and computational facilities and hosts several research groups in related areas, bringing together a broad and complementary set of skills (https
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teach one course per semester in the Department of Mathematics. Qualifications. The postdoctoral associate must hold a PhD in mathematics, mathematical/computational biology, or a closely related
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
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disciplines. These positions are intended for new or recent Ph.D. in applied/computational mathematics, mechanical engineering, or computational science. Ideal candidates will have strong past experience in
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. The main thrust will be in the area of computational modeling and theory for crack path prediction. Required Qualifications: Ph.D. or equivalent degree in mathematical sciences or a closely related field
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or recent Ph.D. in applied/computational mathematics, computational science, chemical engineering, or related disciplines. Ideal candidates will have strong past experience in scientific machine learning
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and