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) Positions PhD Positions Application Deadline 18 Mar 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
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Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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. Computer science, ranging from classical programming to computational tools for engineers (data models, numerical computation, simulation, optimization), is an integral part of the curriculum. In recent years
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publications and the recipient of numerous professional awards (Wikipedia/Maurizio_Porfiri). New York University (NYU) is one of the top private universities in the United States, and the Tandon School
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. You can continue your career journey with us! The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine
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of the individual dissertation topics through study of the literature and in making the objectives more precise working on the individual PhD study project with experimental, numerical in collaboration with other RTG
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. and M.S. students, and approximately 170 B.S. students. We have strong research and educational programs in discrete mathematics, algebra, logic, analysis and probability, numerical analysis, geometric
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on numerical and theoretical aspects of turbulence, at INPHYNI and in other laboratories of Université Côte d'Azur. The PhD candidate should have a strong background in physics, with advanced knowledge of fluid