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the University of São Paulo's Engineering School (POLI-USP) in São Paulo city, Brazil. Requirements to fill to position: • PhD in fields related to Computing, Applied Mathematics, Physics, Statistics, Electrical
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, a PhD degree in one of the following disciplines: computer science/engineering, bioinformatics, applied mathematics, biomedical engineering, or electrical engineering. Related disciplines may be
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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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through MathJobs.Org right now. Please apply at https://www.mis.mpg.de/career/phd-applied-algebra-and-geometry.html . Contact: Dani Kaufman Email: Postal Mail: Max Planck Institute for Mathematics in
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, Functional Analysis, Calculus of Variations and Optimal Control, Optimization, Mathematical Biosciences and Quantum Biology. Some of the current research projects in Applied Mathematics include laser ablation
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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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. Establish independent research areas. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering
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students have received numerous national awards in research and mentoring and are committed to excellence in training. The department offers an PhD, Master of Science, and concentration in the MPH program
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 6 days ago
and mentor interns and PhD students within the QAT team. Participate in the scientific integration and dissemination activities Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI