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involve conducting computer simulations and computational studies as part of the research project titled "Design, characterization, and description of the mechanisms of action of heterostructural
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
for the avatarization process, i.e. obtaining a 3D, animatable model from one or several images. This is a very hard problem as shape fidelity, animatability, fast computation time and low number of required input
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to job duties (Linux operating system, Gaussian/ORCA, AMBER/OpenMM, coding skills in Python) Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Assistant to
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for classifying user activity in office buildings using power consumption data, with a focus on probabilistic approaches such as Gaussian Processes that provide principled uncertainty quantification
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-Informed Machine Learning perspective [1]. The doctoral student’s thesis will focus on operationalising this perspective through the development of Biology-Informed Gaussian Processes (BioGPs
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mainly rely on Poisson log-normal (PLN) models with Gaussian latent variables, in which the observed dependencies between species are directly interpreted as ecological interactions. Although these models
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. Description: The transition in the Arctic from multi-year ice to first year ice raises the urgency of process understanding and modeling of sea ice formation/melt processes, including the interaction with
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-temporal modelling and non-Gaussian modelling. We also provide statistics education at all levels. More than 900 students study at the department each year. Further information is available
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method) leveraging Gaussian process (GP) emulators to isolate sensitive parameters and optimize workflow computational costs. Calibrate and validate computational models against individual and population