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Field
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of construction sites and information management Mathematical models for infrastructure impact and infrastructure economics Eligibility: PhD obtained between 1 January 2019 and 31 December 2024 (date of thesis
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. QUALIFICATIONS: The ideal candidate will have a strong foundation in dynamical systems, control theory, systems biology, and the theory of algorithms and computation. The candidate should possess a PhD in
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD (or foreign equivalent). At least one academic degree in the field of Mathematics, Physics
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department (GRS) working closely with PhD researchers, postdocs, and professors in an open and collaborative environment, where you will receive full support and training to grow in your career. This project
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science or related fields, with no more than five years post-receipt of PhD. The appointment is for
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hold a PhD in computer science or mathematics, with computer algebra as a specialty. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7161-GOVVAN-019/Default.aspx Work Location(s
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
) in a relevant field, such as economics, geography, climate sciences, physics or mathematics experience in quantitative research, documented by relevant publications in peer-reviewed journals (for PhD
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will be available for professional development, such as conference participations and research visits. You should have a PhD in a relevant area of pure mathematics (or equivalent experience). We
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to their ongoing research programme, which aims to unravel the complex mechanisms underpinning 3-dimensional growth in plants. About you The successful applicant will hold a relevant PhD, together with experience in
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the research group and will work with collaborators at other institutions (nationally and internationally) The successful candidate should have the following qualifications: PhD in Epidemiology, Data Science