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Number AE2025-0515 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0515.pdf CALL FOR GRANT
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: Email: People.recruitment@manchester.ac.uk Technical support: 0161 850 2004 https://jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date.
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
Rita Johansen, Senior advisor, UiT -The Arctic University of Norway email: rita.johansen@uit.no Qualifications Required qualifications PhD in Social, Cultural, Visual Anthropology or closely related
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University of Norway: email: stine.willum.adrian@uit.no or Senior advisor Rita Johansen, UiT -The Arctic University of Norway: email: rita.johansen@uit.no Qualifications Required qualifications: PhD in Social
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member to begin Fall 2026. We seek candidates with a PhD in Computer Engineering, Electrical Engineering, Computer Science, Information Technology or related fields whose research aligns with strategic
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Physics, molecular chemistry. Education Level: PhD. Previous experience: 2 years of postdoctoral experience Specific Requirements Bachelor in bioengineering or similar. PhD in bioengineering, or in a
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/357669/phd-in-electronic-ics-for-lidar… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in Electric Engineering. Proven knowledge of analysis techniques
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or equivalent Skills/Qualifications • A PhD in Materials Science, Physics, Chemistry, Chemical Engineering, Computer Science, or a related field. • Demonstrated experience in one or more of the following: Density
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15 Jan 2026 Job Information Organisation/Company Military University of Technology - Wojskowa Akademia Techniczna Department Faculty of Electronics Research Field Computer science Engineering
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical