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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities This PhD project will investigate how phase transitions can be harnessed for information
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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Number of awards: 1 Award information: Fully funded PhD studentship covering Home tuition fees and a tax-free stipend. Available to Home fee-status applicants only due to funding structure
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engineering or biomedical engineering. Experience in microfabrication, cleanroom processing, electrochemical characterization, neural interfaces, cell culture or data analysis would be an asset. Applications
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throughout your time with us. Teaching and learning All first year PhD students undertake a two-term course called Research Process and Research Design. Provided by the Department, this course supports
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methodologies in the field. The department also offers teaching opportunities for PhD students from their second-year of study onwards, subject to availability and a formal application process in any given year
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teaching opportunities for PhD students from their second-year of study onwards, subject to availability and a formal application process in any given year. For more information and to apply please click
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deadline: 20/10/2026 Selection process More information: [email protected] Work Location(s) Number of offers available1Company/InstituteUniversidad de Burgos CountrySpainState/ProvinceBurgosCityBurgosPostal
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months the student is evaluated and the outcome determines if the PhD program can be continued. For more information please contact Prof. dr. ir. Dirk Nuyens, mail: [email protected] . Where to apply