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Field
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MSCA Doctoral Network position “Electric solar wind sail mission design” We are now looking for two (2) Doctoral Researchers. This PhD topic is part of the “Electric solar wind sail doctors” (E
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in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research. Each research area is assigned to a
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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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role involves designing and integrating real-time software algorithms with robotic hardware, including perception, control, communication, and safety modules to enable safe, precise, and reliable remote
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designed to support a PhD pathway in collaboration with the Institute of Computer Science at University of Bonn. Be part of change Your research focus Learning- and optimization-based methods for physics
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flow cytometry/cell sorting protocols. Design and develop specialized methods and/or techniques to provide protocols in cytometric procedures and assays in collaboration with users. · Operate and
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on the prevalence and evidence related to post-stroke fatigue. Investigating the mechanisms and impacts of post-stroke fatigue Contributing to the design and evaluation of targeted interventions Collaborating with
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An opportunity to join a pan-European network of PhD students decoding and designing biomolecular systems with hybrid DNA:RNA:protein nanotechnology. You will be working on a project under the
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+ students across our system, and awarding nearly 12,000 degrees each year. We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and
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questionnaire design, ethics applications, and liaison with external partners. They will also contribute to quantitative analysis of survey and secondary datasets (e.g. APMS) using statistical software such as