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of axion production in dense media, with a particular emphasis on gamma-ray signatures, gravitational waves, and multi-messenger observables. Qualifications: Applicants should have: a PhD in physics or
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/ Physics beyond the Standard Model Appl Deadline: 2026/02/28 04:59 AM UnitedKingdomTime (posted 2026/02/11 05:00 AM UnitedKingdomTime, listed until 2026/08/12 04:59 AM UnitedKingdomTime) Position
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria Knowledge / Academic Background • PhD in plasma physics, space physics, planetary science, or an equivalent discipline
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21 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire national des champs magnétiques intenses Research Field Physics Physics » Solid state physics Physics » Surface physics
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LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in experimental physics (atomic physics, optics, lasers
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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Additional Information Eligibility criteria PhD in physics or chemistry, good experimental knowledge of electrochemistry, with a grounding in magnetism; knowledge or training in hydrometallurgy would be
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High Magnetic Field Laboratory (LNCMI) – French National Centre for Scientific Research (CNRS), Grenoble, in experimental condensed matter physics. The research activities will focus on magneto-optical
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» Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria PhD in materials chemistry, inorganic chemistry, or process engineering. Experience in advanced material
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changeYears of Research ExperienceNone Additional Information Eligibility criteria • Minimum training: PhD in atmospheric physics and chemistry, with significant experience in in situ data analysis. • Good