23 parallel-computing-numerical-methods PhD positions at University of Southern Denmark in Denmark
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Job Description We are looking for a PhD candidate to join the TACsy (Training Alliance for Computational Systems Chemistry) Marie-Skłodowska-Curie Joint Doctoral Network. This network consists
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University of Southern Denmark, IMADA - Department of Mathematics and Computer Science Position ID: SDU -GBSPHD [#26705, 2988] Position Title: Position Type: Fellowship or award Position Location
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of programming languages. The ideal candidate has an MSc in Computer Science or Mathematics and experience in one or more of the following areas: Theory of programming languages. Logical methods in
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. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
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accomplished using methods such as reinforcement learning that should be initialized with information from human demonstrations. The developed method should be applied to the manipulation of flexible objects
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collaboration? If you possess strong competencies in health economics research methods, you might be the ideal candidate for our PhD position. Research environment The position is anchored at the Danish Center
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power electronics devices. Design methods: Develop novel design methods for power electronic converters involving advanced optimization methods Simulation: Learn advanced simulation tools such as Ansys
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in functional genomics methods (e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024
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algorithm. Design methods: Develop novel control methods for power electronic converters feeding electric machine Simulation: Learn advanced simulation tools such as Ansys to simulate and analyze the effect
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Public Health, Sociology, Medicine or similar disciplines. We prefer a candidate with the following qualifications: Strong background in epidemiological methods, health policy, or healthcare systems