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- Delft University of Technology (TU Delft); 16 Oct ’25 published
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- Delft University of Technology (TU Delft); Published today
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Field
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, processor/system simulators (Gem5, NVSim), SystemC, HLS tools, abstractions and intermediate representations, Programming models, MLIR, LLVM, experience in code optimization, programming expertise in C, C
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
, AI applications, and scientific computing. Networking and exchange in interdisciplinary digitalization communities and at BAM digitalization events with the aim of developing innovative solutions and
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National Centre for Scientific Research (CNRS). LIRMM's research activities place it at the very heart of the information, communication, and systems sciences and technologies. Its work is carried out within
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for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and farm management through innovative sensing technologies, advanced modeling, and intelligent automation
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energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes
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communication networks? Optical wireless links using highly directional steerable laser beams can securely serve a high density of devices at high data rates. Your project optimizes energy efficiency and develops
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for communication and computing in highly dense cellular networks and for infrastructure-less wireless services. Successful applicants will work on algorithms and techniques to make Safe Machine Learning available
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visualization in the Lipidomics Informatics for Life Science network in the de.NBI / ELIXIR-DE network Participation in working groups of the HUPO-PSI MS standardization initiative, ELIXIR Metabolomics and
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processing, embedded systems, machine learning, and networked communication. Each PhD position corresponds to a dedicated research topic within the consortium. All doctoral researchers will benefit from joint