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of scienceYears of Research ExperienceNone Additional Information Eligibility criteria The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as
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phenomena in deep learning - Collaborate with an interdisciplinary team of AI, quantum physics, and applied mathematics researchers - Contribute to open-source tools, datasets, and benchmarks - Present and
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Experience1 - 4 Additional Information Eligibility criteria The position requires a PhD in Earth sciences, applied mathematics, or a related field, experience with topological analysis or data science, and
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from conceptual studies into promising technologies with concrete potential for real-world applications. While their long-term use in high-energy colliders remains a goal, current research is
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Additional Information Eligibility criteria Knowledge PhD in biochemistry and/or chemistry; knowledge of lipids is a plus; basic knowledge of mathematics, physics, and data analysis. Use of mass
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ExperienceNone Research FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in Applied Mathematics, Data Science, or Statistics • Expertise in
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scienceYears of Research ExperienceNone Research FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria The recruited person will hold a PhD in mathematics or applied
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Formal Methods can provide guarantees on AI systems, and on the other hand how AI can help Formal Methods to be more efficient and easier to use by practitioners. The vision is to intertwine Formal Methods
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Academic: PhD in applied mathematics, computer science, or medical physics. Scientific interests: applied mathematics
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Eligibility criteria PhD in Mathematics. Candidates with expertise in one of the following research areas are encouraged to apply: - Complex foliations; - Birational geometry; - Qualitative theory of real