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will be part of this PhD position: (Semi-)Automated production of catalyst inks from commercial materials Development of characterization workflow for catalyst inks and interfaces Establishment of a
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https://www.jobbnorge.no/en/available-jobs/job/298131/phd-candidate-in-spectral… Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Additional Information Work Location
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your application: A doctoral degree in automatic control, electrical engineering, computational materials science or related. Research experience in battery tests, machine learning, data-driven
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. This position will report to the Department Undergraduate or graduate Director depending on the course assigned. The successful candidates must have a Masters, preferably PhD degree in Statistics or a related
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. This position will report to the Department Undergraduate or graduate Director depending on the course assigned. The successful candidates must have a Masters, preferably PhD degree in Statistics or a related
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hours): Graduate School Decision-Making Module Develop an asynchronous Canvas module to support current and future McNair scholars in navigating multiple PhD admission offers Create and record a 45–60
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.04.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr
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to employees, depending on eligibility: Generous annual leave: 35 Days Annual Leave plus Bank Holidays & Closure Days Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme
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Intelligence and machine-learning approaches and emerging digital technologies such as non-contact sensors, smartphones, and computer tablets. This theme could also include research in data analytics and
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network management. You will have a good first degree in physics, electrical and electronic engineering, computer engineering/science, or another relevant subject, and a PhD or equivalent experience in