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to build a distributed and cooperative network. To develop signal processing techniques, the group researchers use real data captured by available radar modules at the lab or custom-built MIMO radar with
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, associations, NGOs … A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers
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unique training environment to advance microbiome science through metaproteomics. The program addresses One Health challenges by integrating research on microbial mechanisms, microbiome dynamics in various
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order to better understand, explain and advance society and environment we live in. Your role The PhD position is embedded within the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg
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19 Sep 2025 Job Information Organisation/Company Luxembourg Institute of Health Research Field Medical sciences » Cancer research Researcher Profile First Stage Researcher (R1) Positions PhD
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to join our lab and work on brain metastatic cancer. The candidate will join a young, creative and stimulating environment, with direct supervision and mentoring by the Principal Investigator, and
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generation and semantic search across historical statistics publications. Successful PhD candidates will extensively explore and analyse the suitability and potential benefits of LLMs (and other machine
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understand, explain and advance society and environment we live in. Your role Conduct research and prepare a doctoral thesis in metabolic network modelling and computational epigenomics Develop novel methods
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The SIGCOM research group, headed by Prof. Symeon CHATZINOTAS, carries out research activities in the telecommunication and networking systems, including NTNs and quantum communication infrastructure, and is currently expanding its research activities in exploring several emerging topics of...
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order to better understand, explain and advance society and environment we live in. Your role The PhD student will develop and apply computational multiscale models to investigate brain energy metabolism