119 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in Denmark
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professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department
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(including gastruloids) to study epigenetic regulation in development. An interdisciplinary environment with opportunities for collaboration across experimental and computational life sciences within MBG and
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
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research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further
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research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further
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the European Research Council project REVIVE, combining experimental, analytical, and computational approachesofbatteries.Thismultidisciplinaryandhigh-visibilityenvironmentprovidesexcellent opportunities
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of electromagnetic theory, microwave principles, and computational electromagnetics (FDTD, FEM, MoM). Research experience with mechanically beam-steering, multiband/shared-aperture antennas, or antenna array synthesis
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methods, design interventions, and digital/computational methods to engage users, publics, and partners in exploring dilemmas, controversies, and paths to sustainable and desirable futures. We strive
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magnets that is able to generate a strong magnetic field, while at the same time being easy to manufacture, and cost-efficient. We aim to achieve this by using a novel computational approach that should be