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the benefit of research advances for the patients by way of a close and innovative networking of basic research-oriented and clinical neuroscience. The Project Group “Translational Machine Learning” offers a
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and food economics (incl. consumer behavior) Sustainable food systems Machine learning, AI and digital agribusiness management International agricultural development The job responsibilities include
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application domains are e.g., signal-/image processing and machine learning. Tasks: scientific research and development in designing and programming fied programmable gate arrays (FPGAs) for accelerating signal
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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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/software co-design and operating/runtime systems. Typical application domains are e.g., signal-/image processing, machine learning and control algorithms for robotics. Tasks: research and development in
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University Hospital, incorporating data analytic tools such as statistics and machine learning. Your main tasks and responsibilities within this project are to: Conduct academic research which will lead to
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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
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knowledge in the field of machine learning, in particular deep neural networks Practical experience in the application of machine learning algorithms for both regression and classification problems Excellent
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Leibniz-Institut für Agrartechnik und Bioökonomie e.V. | Potsdam, Brandenburg | Germany | 5 days ago
completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field Profound knowledge in the field of machine learning, in particular deep