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://dimag.ibs.re.kr/ Successful candidates for the research fellowship positions will be new or recent PhDs with outstanding research potential in all fields of Discrete Mathematics with emphasis on Structural Graph
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for Artificial Intelligence. Eligibility: Qualified candidates with a PhD in mathematics, statistics, physics, computer science or neuroscience are encouraged to apply. Women and underrepresented minorities
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possession of a PhD degree or obtain their PhD by January 1, 2027. The positions come with no teaching duties. Candidates are not required to speak Hungarian. The gross salary will be 1.050.000 HUF per month
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research program and will be required to teach at least one graduate course per year. Collaboration and engagement with IMPA students and researchers are strongly encouraged. Applications for this position
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Position Description Founded in 1996, KIAS is committed to the excellence of research in basic sciences, namely mathematics, theoretical physics, and computational sciences, through high-quality
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University of Northern British Columbia | Prince George North, British Columbia | Canada | 2 months ago
The successful candidate should hold a PhD or equivalent degree or expect to receive one before July 1, 2026. The position typically requires a PhD obtained in 2023 or later; however, if your PhD was obtained
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are required. Experience in python, Fortran, C++ and parallel computing are a plus. 3. Good publication record in peer-reviewed journals for fluid mechanics. 4. A Ph.D. degree in relevant
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provider stakeholders, and mentor students or junior researchers where appropriate. Requirements: Ph.D. in Air Transportation, Transportation Engineering, Statistics, Data Science, Operations Research
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their complete and mathematically precise explanations. Postdoctoral researchers working in this area will be mentored to support the development of their own independent research program, while collaborating with
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limited to: Computational and applied mathematics; artificial intelligence for sciences (especially biomedical science, brain science, and neuroscience); data science and machine learning; modeling