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. The way we process data produced by computational nodes is therefore constantly evolving. While historically, mainframes provided heavy lifting for dumb end user terminals, computing capabilities now
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sufficient demand. Mode of study Less than 50% online Programme duration 7 semesters Beginning Only for doctoral programmes: any time Application deadline For detailed information on the application procedure
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support you during the different phases of your research as well as during your transition to the postdoc job market. International elements Content-related regional focus Special promotion / funding
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programme offers comprehensive training to both national and international doctoral candidates in various aspects of cardiovascular science. From cardiology to vascular and cardiac surgery, including
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, biostatistics, bioinformatics, and theoretical physics. Recently, AI (AlphaFold, computer vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | about 18 hours ago
molecules involved in these processes. We utilise our findings to develop new diagnostic methods and anti-infectives based on natural products. The ILRS PhD projects try to answer these intriguing questions
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Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | about 18 hours ago
publishing or teaching and applying for postdoc positions Students who attend our programme investigate the crucial intersection between the economy, politics, and society and develop new approaches in
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programme is the aim to develop DPE students into active participants and members of the international scientific community. Doctoral students and postdocs receive specific and comprehensive support in
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personalised support, beginning even before their arrival in Bamberg. The Graduate Centre “Trimberg Research Academy” supports PhD candidates and postdocs with individual consultations about academic careers
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design