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. The position is renewable for a second year. Review of applications will begin on March 15, 2022 and will continue until the position is filled. The position is embedded in the funded multi-national project
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 22 hours ago
Time Full-time Equivalency (FTE) 1.0 Salary $46,338 - $58,661 per annum Classification Provisional Statement About Dalhousie University Dalhousie University is Atlantic Canada’s leading research
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measurements based on embedded systems. Assembly and verification of optical communication systems. Planning and management of LMR experimental activity (internal/external assignments). Where to apply Website
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Sciences Internal Number: 7036288 Principle Research & Development Engineer II, Embedded Software About the Opportunity This is a 1-year fixed-term position, renewal based on available external funding
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responsible for developing a collaborative environment between the academic team and EthOss, ensuring knowledge is transferred and embedded into the company. EthOss Regeneration Ltd is a UK-based company
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students holding a BSc degree in Biology, Biochemistry or a related subject. The Master's fellowship programme is embedded in a cutting-edge research environment and will start on October 1, 2026. Who can
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publication record in sensing systems, mobile health, or HCI. Experience with signal processing, machine learning, or embedded systems is a plus. Carnegie Mellon University is an equal opportunity employer. It
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others. The candidate will develop the complete model pipeline (training, optimization, embedding, benchmarking) on resource-constrained systems. Furthermore, she/he will also address the mechanical and
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instrumentation of technical processes and systems, with close connection to applications and applied research. Project description Your work will be embedded into a cutting-edge research project dedicated
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, actively engaging in scientific discussions and joint research initiatives. You will work here The research is embedded within the chair Artificial Intelligence which is led by Prof. Ioannis Athanasiadis