33 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Warwick" Postdoctoral positions at University of Luxembourg
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dedicated to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term Contract 24 Month Work Hours: Full Time 40.0 Hours per Week Location: Belval Campus
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are experimentally driven and supported by the COMMLab , the 6GSPACE Lab , the HybridNetLab , the QCILab , our SW Simulators , and our Facilities . For further information, you may refer to https://www.uni.lu/snt-en
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Applications should include: Curriculum Vitae, including your contact address, work experience, publications, and contact information for 3 referees Cover letter detailing your motivation
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on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
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As a postdoctoral researcher, you will analyze data from the Youth Survey Luxembourg (YSL). The YSL spans topics including attitudes, digitality, health, political participation, and the values
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-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials
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career goals align with its objectives Transcript of all modules and results from university-level courses taken PhD diploma or a letter/information indicating the expected defense date List
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to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering and Experimentation: Proficiency with
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of atomic environments Detection of extrapolation and low-reference data regimes Active learning in configurational and chemical space Training and benchmarking of large-scale foundational MLFF models More