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to know more? We’re happy to provide more information! Rogier Kievit 📱 +31 6 41 78 17 16 📧 Send an email Website for additional job details https://www.academictransfer.com/359821/ Work Location(s) Number
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requirements We look forward to dynamic candidates that want to get their hands onto a real mission and bring a contribution to society. You also have: A PhD in engineering (computer science, aerospace
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additives, electrochemical evaluation, and mechanistic studies to advance the fundamental understanding and industrial scalability of CO2-to-methane conversion. Where to apply Website https
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to the overall vision of the project, co-monitoring progress, and co-coordinating internal scientific events and activities. What we ask of you The successful candidate will have: PhD degree in Human-Building
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, collaborate openly across institutions, and have the stamina to push through the engineering challenges that come with real-world physical AI. Your experience and profile: a PhD degree in Computer Vision
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sweat continuously and unobtrusively during everyday activities. This can be achieved by weaving the sensors into the material and using a small clip-on electronics unit. With that we can help patients
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techniques and approaches. There will be ample opportunities to supervise PhD, MSc and BSc students in the group, and to become familiar with grant writing and funding acquisition. Careers advice and
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provides opportunities to strengthen your academic profile through (co-) supervision of PhD, MSc, and BSc students, as well as teaching (if desired). Especially attractive is the opportunity to collaborate
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, PlasmaObs, LCRS, Moonlight and Henon. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Many challenges and trends will affect the operations
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funded NWO-AES project “Genetic variance Estimation Now (GEN): Estimating current genetic variance components in populations under selection”. You will work closely together with a PhD candidate and