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methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision-making in IoT, wireless communication, and remote sensing systems Collaborate with multidisciplinary
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This postdoctoral research position is connected to the new CHANGES project (“Caring for humanity and nature through global citizenship education”), funded by the André Losch Foundation and embedded
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and clinical research by embedding the “bed to bench to bedside” research approach. Fundamental research focuses on induced pluripotent stem cell (iPSC)-derived neuronal models to elucidate
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of new biomarkers and therapeutic targets for Parkinson's disease (PD), aimed at bridging the gap between fundamental research and clinical research by embedding the "bed to bench to bedside" research
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in
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Qualification: PhD in Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable