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in Computer Science or a related field Experience in software development Excellent programming skills Familiar with basics of machine learning Interest in mobility technology and/or simulations, with
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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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machine learning potentials for supramolecular metallacages and enzymes. Efficient and accurate potentials will be developed and applied to study confinement effects in metal-containing systems, such as
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the complex food composition, which can lead to masking effects and molecular interactions in the food matrix. The applicant will work on the development of machine learning prediction models
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on knowledge representation and machine learning at scale. It is particularly interested in models with rich semantics, e.g., RDF knowledge graphs. You will be supervised by Prof. Dr. Axel Ngonga (head of group
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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at the Institute of Human Genetics, in the workgroup "Regulatory Genomics" of Prof. Martin Kircher. The bioinformatics group performs research in the fields of sequence analysis, data mining, machine learning and
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for the Cluster of Excellence Centre for Tactile Internet with Human-in-the-Loop (CeTI) a project position as PhD/Research Associate in Computer Engineering (m/f/x) (Subject to personal qualification employees
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is suitable for part-time employment. Starting date: 15.05.2024 Job description: In this PhD project, you will join an interdisciplinary team working on machine learning under uncertainties. Your goal
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is suitable for part-time employment. Starting date: 15.05.2024 Job description: In this PhD project, you will join an interdisciplinary team working on machine learning under uncertainties. You will