24 network-coding PhD positions at Eindhoven University of Technology (TU/e) in Netherlands
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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(knowledge of Dutch is not required). Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work
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network connecting fundamental chemical biology, clinical diagnostics, and industrial partners. You will be working under the supervision of Luc Brunsveld, Volkher Scharnhorst, and a multidisciplinary team
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. Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within
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written English (C1 level). Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a
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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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are currently seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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teaching skills and coach students; Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work
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Requirements A master’s degree in a relevant field (e.g computational design, advanced robotic fabrication, architecture). Experience working on topics related to 3d clay printing, custom g-code and slicer
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of porous electrodes, advanced imaging and characterization, and validation in electrochemical cells. Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by