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1Zipcode80539CityMünchen Contact details E-Mail: recruiting_cens at physik.uni-muenchen.de Web: https://www.cens.de Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful
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-driven biocatalysis and accelerate bioprocess development. DC1: Machine learning-guided multiparametric optimisation of cytochrome P450 monooxygenase PhD enrolment: Technical University of Denmark DC2
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University Medical Center of the Johannes Gutenberg University Mainz | Mainz, Rheinland Pfalz | Germany | 1 day ago
), is offering a fully funded PhD position in the area of statistical learning, machine learning, and survival analysis applied to large-scale proteomics and multi-omics cohort data. The PhD project
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of the ERC Consolidator project AUTOMATIX (see details below), we are seeking a PhD candidate to develop machine learning approaches for constitutive modeling. Context With the advent of machine-learning (ML
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at TalTech´s web-page: https://taltech.ee/en/phd-admission The application should include: A motivation letter describing your research interests Curriculum Vitae (CV) Copies of academic transcripts and
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-informed deep learning algorithms, one publication (e.g. MSc thesis or preferably a conference/journal publication, link is sufficient). Please submit these exclusively via our job portal. Applications by e
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://calls.ikerbasque.net/ Work Location(s) Number of offers available1Company/InstituteIkerbasqueCountrySpainCityBilbaoGeofield Contact City Bilbao Website http://www.ikerbasque.net E-Mail info@ikerbasque.net STATUS
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from Wastewater“ Would you like to learn the basics of efficient recycling methods as part of a PhD study, with a focus on the sustainable use of natural resources? If so, the PhD Graduate School WERA
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Computer science » Programming Physics » Computational physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Mar 2026 - 17:00 (Europe/Rome) Country Italy Type
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and