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Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal
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, machine learning or neuronal population analyses would be an advantage. Specific Requirements We are looking for a candidate with a strong interest in scientific software development and quantitative
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at the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich in Basel invites exceptional candidates to apply for a PhD position in pioneering projects at the intersection of synthetic biology
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. Qualifications and personal qualities: Applicants must hold a PhD or equivalent doctoral degree within atmospheric physics, meteorology, climate science or machine learning. PhD-students may apply if defence of
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. For example, investigating costs and benefits related to the adoption of state-of-the-art technologies that permit tracking and chain of custody. The team will also explore machine learning and artificial
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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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lead research in areas such as machine learning, agentic AI, edge AI, physical AI and AI safety. We encourage applications from scholars who apply interdisciplinary perspectives and share important
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to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more
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advanced machine learning techniques Optical design and miniaturization of a novel spectroscopic sensor based on freeform optics, optimized for agrifood applications For this function, our Brussels
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Responsibilities Soil Functional Type (SFT) Framework Development Compile and harmonize global observational soil databases in support of SFT framework development. Apply (unsupervised) machine learning methods