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Description The Institute for Software and Systems Engineering (ISSE) of the University of Technologies Clausthal is hiring a academic researcher in the field of stakeholder networking & living lab
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, up to 100%), extensive research funding, interdisciplinary collaboration, mentoring by a top-level scientist, training and networking opportunities. Location: Cécile and Oskar Vogt Institute of Brain
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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network of passionate young scientists in Munich. WHAT DO WE OFFER? A structured PhD program created by Munich-based Max Planck Institutes and Universities with English as the main language Individual
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network.
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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feedback control, you will uncover fundamental connections between physical dynamics and neural network representations. We seek a highly motivated PhD candidate with an excellent master’s degree in physics
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/NL. The successful candidates commit to actively participate in networking including regular research visits to the partner laboratories. Requirements: university degree in chemistry or physics and