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Field
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Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly founded by
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | 23 days ago
6 Mar 2026 Job Information Organisation/Company Analytical Food Chemistry at Technical University of Munich Department Life Science Engineering Research Field Chemistry » Analytical chemistry
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Engineering and will become part of the national graduate school FOFOS – Research School for the Transformation of the Public Sector (https://www.mdu.se/forskning/forskarskolor/forskarskolan-fofos ). FOFOS is
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be an integral part of the prestigious NWO AiNED AI-on-ONN
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» Mechanical engineering Computer science » Programming Engineering » Aerospace engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 Apr 2026 - 23:59 (Europe
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing
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, feedback, and self-regulated learning (SRL). This 4-year PhD project is situated within a broader research programme on learning, instruction, and educational technology within the team Educational Sciences
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of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently seeking a highly motivated PhD student to join our team