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10th November 2025 Languages English English English Do you want to develop methods in the interface between AI and forest ecosystems? PhD scholarship: methods for characterizing forest structure
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of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation of the mathematical models of the patho-physiology and PK/PD
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artificial intelligence (AI) and machine learning (ML) methods for the modeling of catalytic mechanism relevant to silicon formation. Develop AI/ML-driven computational workflows that leverage atomistic and
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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the PhD program for humanities, culture, and educational sciences. Apply for this job See advertisement About the position We are looking for applicants with an exciting research idea who is motivated
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, Dr Eder Zavala, and Prof. Marcus Tindall Location: University of Reading, UK Duration: 3 years Start date: August 2026 at latest The students will be enrolled in the structured PhD programme at
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of Bergen, Norway. Supervisors: Dr Zuowei Wang , Dr Eder Zavala, and Prof. Marcus Tindall Location: University of Reading, UK Duration: 3 years Start date: August 2026 at latest The students will be enrolled
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28 Feb 2026 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative
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theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able