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of the Modelica language is of great advantage experience and knowledge in numerical simulation techniques and multidomain coupled systems knowledge in machine learning and statistics is an added benefit good
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Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc Positions in Machine Learning and Ab Initio Simulations: Marx Group
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apply machine-learning/AI algorithms to evaluate optical measurements in high-throughput experimental settings. You cooperate with other scientists in an interdisciplinary team. You write project
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Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: Promotion Job description: Your Job: You will join the Simulation and Data Lab `AI and Machine Learning
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Your Job: You will join the Simulation and Data Lab `AI and Machine Learning for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote
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clean and well-structured code Prior experience with machine learning and common frameworks such as TensorFlow, PyTorch, or scikit-learn is a plus Knowledge of German is a plus What you can expect
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machine learning and common frameworks such as TensorFlow, PyTorch, or scikit-learn is a plus Knowledge of German is a plus What you can expect Opportunity to work at the intersection of research and
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19.04.2024, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years
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Research). We work closely with the Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (https://mbexc.de/de/), the recently established CRC1528 (https
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, direct electroreduction (electrolysis) and plasma synthesis. Correlating experimental, ab initio and multi-scale simulation as well as machine learning techniques is central to our mission: Development and