198 parallel-computing-numerical-methods-"Simons-Foundation" positions at Technical University of Denmark
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sciences, and engineering. The PhD position is based in the Section for Bioinformatics, which focuses on developing and applying computational methods to solve complex problems in genomics, systems biology
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/multiqubit . The project is supported by an ERC Consolidator grant (€ 2.6 million) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and
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work including laboratory sample analysis for radioactivity determination, maintaining relevant equipment for measuring radionuclides, as well as research and development for radioanalytical methods. You
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, electronics, and neuromorphic computing. You will join an international collaboration between DTU, EPFL, and Max Planck, gaining unique opportunities to work at the intersection of materials science, physics
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against human MMPs. Matrix metalloproteinases (MMPs) are key regulators of extracellular matrix remodeling, and their dysregulation is implicated in numerous diseases, including cancer, chronic inflammation
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) Use bioengineering methods to recombinantly produce enzymes Conduct laboratory experiments to characterize enzyme kinetics and degradation products Identify key processes that regulate enzyme
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, geophysics, materials science, computation, engineering, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and
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, or management, and familiarity with qualitative and/or quantitative research methods Curiosity and motivation to explore how entrepreneurship can contribute to regenerative and systemic solutions to societal and
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for sensing the backscattered ultrasound signals. You will join a laboratory with expertise in photonics, piezoelectric materials and device fabrication methods for sensors and actuators, working under
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-enhanced exact methods, particularly focusing on Column Generation (and Branch-and-Price), to improve scalability and convergence in solving complex optimization problems. In collaboration with your