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Physics » Quantum mechanics Physics » Solid state physics Physics » Thermodynamics Physics » Other Researcher Profile First Stage Researcher (R1) Application Deadline 21 Jun 2026 - 21:59 (UTC) Country
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16 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Chimie et Procédés pour l'Energie, l'Environnement et la Santé Research Field Chemistry Physics Researcher Profile First
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. On the quantum side, we explore the extreme regime of motional quantum states of solids and their interactions to understand how to maximize mass, delocalization, and coherence time in quantum experiments
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or mathematics. Strong programming skills in Python
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ambitious student to conduct theoretical studies of ion transport in solid‑state battery materials. The goal of the project is to advance the fundamental understanding of the mechanisms governing ion
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their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are offering PhD Positions in
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Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 22 May 2026 - 13:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job
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. On the quantum side, we explore the extreme regime of motional quantum states of solids and their interactions to understand how to maximize mass, delocalization, and coherence time in quantum experiments
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applications at the interface between Earth sciences and archaeology. The skills sought for this thesis include a master's degree in Earth Sciences, Physics or Archaeology, with an appetite for geochronology