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of the School of Dental Medicine including both a community- based and a generalist model of dental education. Additional duties as assigned by the Director of Pre-Doctoral Clinical Education, Chair of General
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/Cosmology Theory , PHENIX , Photoelectron spectroscopies , Photon-based Scattering and Spectroscopy , Physics , Physics - Mathematical Physics , Physics Education , Physics Education Research , Physics
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neuronal network dynamics control state transitions and the organization of behavior. The scientific focus of our group is the investigation of large-scale neuronal network dynamics in the model organisms
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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and Content, and a few relevant notes. The description will be based on a small set of documents provided by the AGQ and will be based on the AGQ’s existing description model. More information to follow
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–2023), the model demonstrated good predictive performance for daily and weekly dengue cases based on two years of sentinel hospital data. As part of the ANRS SEA-ROADS programme (2024–2027), coordinated
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for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters
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“Multi-fidelity aero-servo-elastic models for airborne wind energy”, focusing on the development and application of techniques for fluid-structure interaction combined with control for wind energy at high
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information: https://monacklab.stanford.edu/publications This is a great position for someone interested in gaining broad research experience in microbiology, bacterial genetics and mouse models. The ideal
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Montpellier, Languedoc Roussillon | France | 2 months ago
networks, remote sensing, ad-hoc experiments in controlled conditions or in the field) with crop modelling (to improve biological interpretability) to produce knowledge and laws of responses to extreme and