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and application of the AgroC agroecosystem model for simulating water, carbon, nutrient and energy fluxes at the field and farm scale Integration of AgroC with the Parallel Data Assimilation Framework
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, or a related field; a PhD is an advantage Hands-on experience in semiconductor device fabrication and cleanroom processing Experience in electrical characterization and data analysis of semiconductor
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, real-time or streaming data processing, or multimodal learning Strong mathematical and statistical background, combined with excellent analytical and problem-solving skills Interest in developing AI
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Your Job The successful candidate will investigate how neural information processing within the human motor system is impaired by (non-)pathological aging under the supervision of Prof. Dr. Silvia
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subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics