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or Cloud computing and machine learning techniques? You stand out from your peers because of strong commitment and independent work? You are a team player and communicative (excellent oral and written
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or Cloud computing and machine learning techniques? You stand out from your peers because of strong commitment and independent work? You are a team player and communicative (excellent oral and written
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Post Summary: The purpose of this role is to undertake a PhD investigating “Cross-species mechanisms of evidence accumulation along prefrontal cortical gradients” in the laboratories of Dr. Seán Froudist-Walsh (50%) and Prof. Konstantinos Tsetsos (50%). Salary: An annual PhD studentship of...
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The Leah Armstrong Scholarship provides scholarships worth up to $20,000 per year for three years to Aboriginal and Torres Strait Islander women studying or looking to study at a tertiary level in a wide range of study areas including economics, finance, business or community governance. This...
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3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In
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The project: The domain of High Performance Computing (HPC) effectively utilises massively multicore computers that facilitate the distribution of scientific workloads across thousands of compute
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The project: The High Performance Computing (HPC) services of today provide the computational density to perform groundbreaking science. These services facilitate the distribution of a problem space
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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challenges: Data management across the edge cloud continuum means tracking the origin, ownership, and transformations of data: where it comes from (source), where it is stored, who controls access and usage
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phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features