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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 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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phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features
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who want to develop and use Franklin technologies in novel, interdisciplinary research spanning our different scientific challenges . We welcome candidates from any scientific, maths, computing
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2nd February 2026 Languages English English English PhD Candidate in Technology with specialization in ICT - Integrated PhD program Apply for this job See advertisement About the position
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 13 hours ago
Research Council Office across Canada Classification: RO/RCO Tenure: Term Work arrangements: Depending on the nature of the work and operational requirements, positions hired through this program may be
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, and play an important part in accelerating the progression towards net zero in the UK and globally. In this PhD project, the student will lead on computational methods, including molecular dynamics (MD
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, computing or engineering backgrounds. What the Franklin PhD Programme Offers A unique research-focused environment, plus collaborations with leading universities and global companies Access to brand-new labs
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow