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, redox states, and catalytic intermediates. You will work closely with colleagues spanning protein chemistry, spectroscopy, and computation to iterate design–build–test–learn cycles and to elucidate
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chemistry, spectroscopy, and computation to iterate design–build–test–learn cycles and to elucidate structure–activity–mechanism relationships. You will join a well-equipped laboratory and a professional
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10th October 2025 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply
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scientific publications, and complete a dissertation within the project period During the first months of the appointment, the successful candidate is expected to prepare a plan for the progress of the work
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outages and degradations become more severe. Technical failures, unplanned excessive load, design and implementation flaws in components, human error, and malicious intent all have the potential
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comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced epidemiological methods, causal inference and machine learning
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6th October 2025 Languages English English English The Department of Manufacturing and Civil Engineering , Faculty of Engineering, NTNU, has a vacancy for a Phd Candidate in Deep Learning for Real
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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period During the first months of the appointment, the successful candidate is expected to prepare a plan for the progress of the work towards a PhD degree, with a view to completing a doctorate within the
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Package (WP). This research aims to leverage advancements in sensing and ubiquitous systems to address how physical, spatial, and social design opportunities (e.g., through interactive functionalities and