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at the intersection of machine learning, robotics, functional safety, and relevant machinery directives. In addition, the DC will contribute to the dissemination of project outcomes through digital and social media
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network, who spearheads advancements in AI/Machine Learning, Data Science, Environmental Intelligence, Innovations in Health Sciences, Policy Development and Sustainable Societies. THE POSITION Faculty
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor
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research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of Operations Research and Machine Learning. We expect you to complete your
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researcher with a strong background in robotics, mechatronics, systems engineering, machine vision, AI/ML systems, or autonomous control to join our collaborative neuroengineering efforts. This person will
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, police organization, military branch, conflict counselling) required. Some experience in data entry and working in emergency situations and fast pace stressful environment, standing for long hours and
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biogeochemical modelling and data-driven machine learning approaches at an ecosystem scale to improve our understanding of the fate of nitrogen fertilizers applied to agricultural soils. This understanding will be
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Networking (SDN), and advanced machine learning approaches to ensure compliance with ISO/SAE 21434 and UNECE WP.29. Respnsibilities: Develop lightweight AI/ML models for detecting cyber threats in TSN-based
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survivorship programs in the world. We provide advanced, specialized training on the spectrum of late effects of cancer therapy. You will learn to recognize at-risk cancer survivors by performing risk-based