652 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" uni jobs in Germany
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18.03.2026 Application deadline : 30.04.2026 The Cluster of Excellence “Machine Learning – New Perspectives for Science” at the University of Tübingen is seeking a Scientific Director (m/w/d, E14 TV
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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macromolecular dynamics with machine learning, statistical mechanics, molecular simulations, and experimental data. The joint project “FAIME – Flexible and Efficient AI-driven Molecular Simulation Engine” is part
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excitement to learn Good knowledge of spoken English In the research group you will work in an environment that combines the best parts of modern science with traditional academic values. You will carry out
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execution of experiments in the field of Machine Learning (ML): cleaning, preparing, splitting, visualizing data, if necessary crawling and scraping data. Applying (implementation of common ML methods such as
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, subject to a fee) and presented to IPB Human Resources at the time of hiring: (https://www.kmk.org/zab/central-office-for-foreign-education ). Who we are: The Leibniz Institute of Plant Biochemistry (IPB
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understanding basic mechanisms governing gene expression to unraveling genetic aberrations triggering rare diseases and cancer. More at https://www.cs.cit.tum.de/cmm/home/. The project EPIC is a 10-million Euro
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based on machine learning. Reference number 08/26 Your tasks 1. Assessment and analysis of GaN technology characterization data Identification of outliers during testing, with and without machine learning
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(attribution and verification) Implementation and application of various machine learning methods/concepts, such as: One/Binary-Class Classification: LLM-based (e.g., zero/few shot learning, fine-tuning
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). Such attacks include, among other things, synonym replacements, paraphrasing, machine translations, or the use of language models for automatic rephrasing. These attacks often lead to AV systems making incorrect