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graduate students, as well as recent graduates, from Minority Serving Institutions (MSIs) pursuing degrees in science, engineering, technology, mathematics, and other disciplines that that align with NNSA's
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, Mathematics, Physics, or a closely related field. Proficiency in machine learning libraries (e.g, scikit-learn, PyTorch, and transformers) and data analysis tools (e.g., pandas, NumPy, and CuPy). Hands
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competencies Applicants should have an excellent foundational knowledge of wireless communications, machine learning, signal processing, and information theory, complemented by strong mathematical and analytical
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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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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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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Postdoc Research Group Pellicciotti: Cryospheric and Land-Surface Modelling of Extreme Droughts in the European Mountains
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mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to participate in developing research
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-Aug-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal Number: 6480939 Postdoctoral Research Associate About the Opportunity The Postdoc will be working on...
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theoretical ecology, geosciences, applied mathematics, environmental physics, or a related field. Research experience in numerical modelling, preferably with knowledge of either eco-evolutionary models and/or