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with a focus on sustainable distribution, warehousing and materials handling. Description of the workplace The assistant professor will be employed in the division of Engineering Logistics, Department
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: Strong mathematical ability. Experience of scientific programming and algorithm development. Knowledge in wireless communication systems and the theory behind. Knowledge in distributed optimization
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of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University. The research group, which is headed by Jakob Nordström , is also active
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal hierarchical characterization. The project is mainly computational with
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knowledge of C++ in relation to scientific software. You have acquired one of the two following skill sets (both is a strong merit): Previously conducted implementations of algorithms and simulations using
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(Helsingborg) ESSF01 Analogue Circuits, study period 3 and 4 ETIN45 Integration of Hardware Efficient Algorithms There may also be work in other courses than above. Qualification requirements Only those admitted
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collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals highlighting findings
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maintenance of gas distribution, gas detection and vacuum systems. Troubleshooting Skills: Proven ability to diagnose and repair gas distribution and cooling systems down to the component level. Vacuum
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hardware and radio systems to distributed cloud platforms and applications. This broad expertise enables research that seamlessly connects connectivity, computation, and cloud-native design. To The Division