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graph based machine learning for discrete and continuous structures, led by Frank Drewes, Johanna Björklund, and Henrik Björklund. The PhD student will work within the context of the STING (Synthesis and
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Machine Learning. Candidates must have an MSc at distinction level (or equivalent) in applied mathematics, numerical analysis or similar and be eligible for UK fee status. Candidates should have a solid
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PhD Research Fellow in generative machine learning with geoscience applications [Distinguish] Apply for this job See advertisement About UiB The University of Bergen is a renowned educational and
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science is now looking for a Doctoral student in machine learning for continuous
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Uncertainty quantification for machine learning models of chemical reactivity In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions
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screening and process optimisation platforms has the potential to significantly streamline this process through machine learning guided experimentation. This interdisciplinary project, based across
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View All Vacancies Chemistry Location: UK Other Closing Date: Sunday 12 May 2024 Reference: SCI266 Uncertainty quantification for machine learning models of chemical reactivity In this PhD
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1st May 2024 Languages English English Norsk Nynorsk English PhD Research Fellow in generative machine learning with geoscience applications [Distinguish] Apply for this job See advertisement About
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/InstituteDelft University of TechnologyCountryNetherlandsCityDelftPostal Code2628 CDStreetMekelweg 2Geofield Where to apply Website https://www.academictransfer.com/en/338964/phd-position-machine-learning-on-gra
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We are seeking for a highly-skilled and self-motivated candidate with a strong mathematical background to do a Ph.D. on the fundamental aspects of graph machine learning with applications