90 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Luxembourg in Luxembourg
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that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . The candidate will be funded through an industry partnership with Luxembourgish Leader
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that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . Successful candidates will perform the following tasks: Conduct cutting-edge research in
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backgrounds 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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technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects The successful candidate will pursue a Ph.D. degree (Doctorate) in
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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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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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an increased focus on digital services, information systems, research data management and integrating the Weicker specialised library, offering a unique opportunity for strategic leadership and for shaping
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applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term Contract 12 Month Work Hours
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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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interactomics, translatomics, and nascent proteomics data in order to shed light on co-translational protein misfolding in human dopaminergic PD neurons. We will then combine these findings with genetic patient