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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
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Work Activities This fully funded PhD position lies at the interface between fundamental physics and industrial application. It is part of activities in ARCNL’s Source Department. The research
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21 Jul 2026 Job Information Organisation/Company ARCNL Research Field Physics » Applied physics Physics » Optics Researcher Profile First Stage Researcher (R1) Application Deadline 31 Aug 2026 - 21
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