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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working
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: Master’s degree in a scientific or engineering subject with excellent grades; enthusiasm for neuroscience and brain mapping; openness to new methods such as deep learning. Offer: Funded PhD position (TV-L 13
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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting
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. Within this broader framework, the advertised PhD project focuses on leveraging EO data and causal machine learning to systematically uncover the drivers of urban flooding and quantify their impacts
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
description:PhD position in "DynaDeep – Biogeochemical processes in the Dynamic Deep subsurface of High-Energy Beaches" (m/f/d) Background The DFG Research Unit DynaDeep aims to achieve a deeper understanding of
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of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | about 1 month ago
Infrastructure? No Offer Description PhD Position in "DynaDeep - Biogeochemical Processes in the Dynamic Deep Subsurface of High-Energy Beaches" (m/f/d) AWI - Alfred Wegener Institute Helmholtz Centre for Polar
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Biological Oceanography, Bremerhaven, in collaboration with the Institute of Marine Ecosystem and Fishery Science of the University of Hamburg. The PhD project will focus on the population identity and feeding
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles