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Field
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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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, 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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. 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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-geostrophic idealised model and use operational and bespoke Met Office model output for case study analysis. You will have : a PhD in atmospheric science, engineering, physics or mathematics (or a closely
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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 | 12 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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has a permanent staff of 35 academics in addition to 6 support staff. The school comprises the disciplines of Mathematics, Applied Mathematics, and Statistics, each led by a Chair in the discipline. Its
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Qualifications Essential Qualifications • PhD in mathematics, science or STEM education research or equivalent (e.g., PhD in biological field with dissertation on discipline-based education research) • Experience
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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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