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at the Chinese Academy of Sciences (ITP-CAS) (https://english.itp.cas.cn ) is calling for application for a few postdoctoral fellow positions in 2026. Research areas include but not limited to: 1) Theoretical
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this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert knowledge of deep
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current academic plan outlines each as core values and we work to embed them in all that we do. Toronto Metropolitan University welcomes those who have demonstrated a commitment to upholding the values
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Johns Hopkins University, Electrical & Computer Engineering Workshop ID: JHU-ECE-TELLURIDE2026 [#31573] Workshop Title: 2026 Telluride Neuromorphic Cognition Engineering Workshop Workshop Type
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collaboration with the Marine Technology Center of Sweden, MTC. Work description This postdoctoral position considers research in marine technology, more specifically on autonomous underwater and surface vehicles
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Science, Computer Engineering, or a related field, completed before the fellowship start date. Candidates should demonstrate experience in at least two of the following areas: compilers, parallel programming
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exploring multi-functional and sustainable polymers for additive manufacturing in robotics. SUME (https://www.vubtechtransfer.be/sustainable-materials-technology ), is the sustainable materials engineering
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for Technology DevelopmentCountryPolandCityWrocławPostal Code54-066StreetStabłowicka 147Geofield Contact State/Province Lower Silesian City Wrocław Website https://port.lukasiewicz.gov.pl/ Street Stabłowicka 147
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chemistry, health and medical technology, materials science, renewable energy, to chemical engineering processing, material recycling, nuclear chemistry, theory and modelling. The Department of Electrical
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presentations for academic and non-academic stakeholders. Minimum Qualifications: Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology