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nanostructure R25-09 Development of advanced computational materials science methods and their application to next-generation devices and advanced materials R25-10 Development of Advanced Electron Microscopy
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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bioinformatics Collaboration with scientists worldwide in strong national and international research network Attractive remuneration Structured doctoral training Have we sparked your interest? Pease send your
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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Prof. dr. Laurens Liesenborghs, tel.: +32 16 32 70 42, mail: laurens.liesenborghs@kuleuven.be. You can apply for this job no later than 25/08/2025 via the online application tool
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public transport connections (U1/U4 Karlsplatz) Your Application: We invite highly qualified and motivated students interested in this exciting research field to send us their detailed application
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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HORIZON MSCA COFUND - 13 Fully Funded PhD Positions in Chronic Inflammatory Disease Research: MAP-ID
The Jagiellonian University invites applications for 13 fully funded PhD positions within the MAP-ID (Multilevel Approaches to Understanding Chronic Inflammatory Diseases) program, co-funded by