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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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association with the ITER project; • Astrochemistry and exobiology, to simulate various environments and to prepare for future space missions and observations; • Surface sciences and innovative materials
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and will be supervised by: Main supervisor: Dr. Rik Mom, Leiden University https://www.universiteitleiden.nl/en/research/research-projects/science/operando-research-in-electrochemistry Co-supervisor: Dr
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
international work environment # Scientific excellence and extensive professional networking opportunities # A structured PhD program with a comprehensive range of continuing education and networking
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Institute of Technology The Łukasiewicz Research Network – Krakow Institute of Technology (https://kit.lukasiewicz.gov.pl/ ) is a member of the Łukasiewicz Research Network (https://lukasiewicz.gov.pl/en
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At the Max Planck Institute for Human Development, we study how and why people develop differently over the course of their lives, and how physical, societal, and technological aspects
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Department: Chemical Engineering Title: The mitochondrion as an engineering target for mammalian cell factories Application deadline: 24/07/2026 Research theme: Biotechnology How to apply: https
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of employment: until 30/04/2027 Minimum educational attainment: University Qualification level: R1 Professional requirements: Study of the role of histone deacetylases in DNA repair mechanisms The role
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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim
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Degree PhD Course location München Teaching language English Languages English Programme duration 6 semesters, 8 semesters Beginning Only for doctoral programmes: any time Application periods