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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon
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Universities? You will join a collaborative programme with Merck Electronics KGa, a world-leading company working in liquid crystals. You will work with a team of scientists from the company along with Dr
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
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science, computational chemistry, computational biology, or a closely related discipline. Demonstrated experience in the design of machine learning architectures such as GNNs, VAEs, or diffusion models applied
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded methodology project
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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author paper published or accepted in peer-reviewed journals. Computational skills, retinal in vivo experience, or omics experience would be advantageous. Expertise in retinal disease modeling especially
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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Computational Fluids Dynamics (CFD); Well informed and knowledgeable in CFD modelling; Highly experienced in using environmental simulation tools, such as ANSYS FLUENT, OpenFOAM or other similar programs; Highly