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for a research associate position on the topic of deep learning for particle physics.The Cluster of Excellence “Quantum Universe” performs research to understand mass and gravity at the interface between
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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familiarity with machine learning frameworks (e.g., PyTorch) Deep interest in knowledge graphs, LLMs, and open science A passion for tackling complex scientific challenges, a creative mindset for developing
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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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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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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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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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coherence, optical), including cross-modal fusion and modality distillation • Design a causation analysis framework combining deep learning with causal discovery & inference to quantify the influence
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months 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