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or PhD in Physics, Photonics, Electrical Engineering, Computer Science, or a related field Simulation Expertise: Proven experience with finite element method (FEM) simulations using software such as COMSOL
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
for Quantitative Genetics and Genomics (QGG) holds a prominent position in research in developing breeding plans and breeding goals for sustainable production. We are developing simulation tools for breeding
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, mathematics, computer science, and statistics. Your work tasks This PhD project falls under Research Thrust RT2 on Physics-based modeling and simulation. The objective of the PhD study is to explore and address
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for Quantitative Genetics and Genomics (QGG) holds a prominent position in research in developing breeding plans and breeding goals for sustainable production. We are developing simulation tools for breeding
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application. Qualifications and specific competences Applicants must hold a relevant Master’s degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field and
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A PhD position in computational pharmaceutical science is available at the Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark (SDU). The project is funded by
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A Ph.D. position in computational pharmaceutical science is available at the Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark (SDU). The project is funded
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positions within the Novo Nordisk Quantum Computing Programme (NQCP). The NQCP mission to develop fault tolerant quantum computing processors requires the interplay of several research teams. All NQCP
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Faculty of Health and Medical Sciences University of Copenhagen We are looking for two highly motivated and dynamic computational postdocs to join the group of Prof. Ana Cvejic from the 1st of June
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operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI