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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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employed on different projects. Successful candidates will thus have the opportunity to investigate a broad range of research areas and design an individual research portfolio. PhD candidates will thus have
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partners, and participation in project meetings and dissemination activities Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Materials Science, Applied Physics
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Provide day-to-day supervision of Bachelor, Master, and PhD students involved in related activities Writing funding demands and scientific articles in the field Participate in research, education, and
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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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profile PhD in Health Economics, Development Economics, Public Health or similar disciplines (awarded or near completion) ; Demonstrated experience in CEA ; Experience with ECEA or DCEA analysis would be
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research work in leading international conferences Key Skills, Experience and Qualifications PhD degree in microbiology, immunology, or molecular biology with a strong interest in mucosal immunology High
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Qualifications PhD degree in bioinformatics or a related inter-disciplinary field High level of motivation for research, attention to detail, scientific creativity, and writing skills Languages skills: fluent in
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project partners in a defence and space R&D framework Is Your profile described below? Are you our future colleague? Apply now! EU or NATO citizenship Education PhD in Materials Science, Physics, Chemistry