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aims to understand the metabolic and neural mechanisms of food choice and specifically how modern, ultra-processed foods influence these systems. Lab website: https://fbri.vtc.vt.edu/research/labs
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Job Description The Halassa lab (https://halassalab.vtc.vt.edu/ ) invites applications for a Postdoctoral Associate position at the Fralin Biomedical Research Institute (FBRI) at Virginia Tech
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modelling to improve our understanding of radionuclide behaviour under relevant environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https
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The Mathematical Institute of Leiden University and the Centre for Mathematical Sciences of Lund University have a position for a PhD candidate to join the project "Analysis of Inhomogeneous Wave
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. Preference will be given to candidates with a strong background in gravitational wave detection, gravitational wave cosmology, gravitational wave data analysis, and/or numerical relativity simulations
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mathematics, computational physics, or a related discipline (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of physical oceanography and experience
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inference and time-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with leading biomedical research groups in Norway and abroad. This PhD position is also
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staff of around 120, including 66 permanent staff. It has a strong experimental component, with numerous prototype set-ups supported by both standard equipment and high-tech instrumentation
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real-world quantum computers. The project combines numerical analysis, scientific computing, quantum computing, and aerospace engineering in an exciting interdisciplinary research environment. You will
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations