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the capabilities of diverse embedded platforms. This includes studying fine grained hardware behavior, developing efficient mechanisms to evaluate candidate architectures, and designing search processes that adapt
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‑world adoption. Role Overview We are seeking a postdoctoral researcher to define and execute an ambitious research agenda at the intersection of generative AI and algorithm-hardware co‑design for next
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reducing waste, product failures and emissions. For this master’s thesis you will join our Competence Unit Complex Dynamical Systems , which focuses on the development and deployment of algorithms to control
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microenvironment; application and further development of workflows using commercial and open-source software Creation and maintenance of research data repositories, including the provision of datasets, algorithms
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of researchers and gain exposure to state-of-the-art quantum technology. For more information on our group and the quantum computer development, please visit our website www.qc2lab.com . Project Descriptions We
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time on a 2-year Knowledge Transfer Partnership (KTP) to develop innovative AI-led plug-ins and interventions, and to transform the Business Computer Projects Accord warehouse management system (WMS
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applications of quantum networks along several possible lines: development of new quantum algorithms targeting various platforms, including qubit based and optical systems adaptation and generalisation of known
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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-month employment contract and enroll them in a specific PhD course. Candidates should prepare their own research proposal from the topics offered . Application form should be filled and all required
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Based at: Business Computer Projects, Stockport The role: An exciting opportunity has become available for a graduate to work full-time on a 2-year Knowledge Transfer Partnership (KTP) to develop