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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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on the complementary expertise and recognized excellence of its 22 research teams to contribute to the development of the fundamental aspects of computer science (models, languages, methods, algorithms) and to foster
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, Pseudomonas aeruginosa, and Enterobacter spp). Our goal is to make a difference in the development of next-generation strain-specific rapid diagnostics, and to help find potential drug/vaccine targets. We have
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-funded collaboration with the World Health Organization, national Ministries of Health and research institutions across 24 countries to understand dengue and Zika virus circulation and interaction (https
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on the systematic measurement of thermal conductivity evolution with burnup in systematic series of samples available at SCK CEN using LFA and, if available, MEMS-TSB method. Where to apply Website https
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offers an exciting opportunity to apply advanced organic synthesis and molecular design to the development of next-generation radiotheranostics. Where to apply Website https://www.sckcen.be/en/thesis-and
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. Mission You will contribute to the development of monitoring tools for understanding the performance degradations of lithium-ion and sodium-ion batteries. Main activities · Develop an equivalent
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. Candidates should have expertise and interest in one or more of the following areas: Design and execution of user studies addressing visualization research questions Development and maintenance
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in quantum control and quantum optics, including the ability to model and analyse light-matter interactions, dynamical evolution. Theoretical background in quantum channel discrimination and quantum