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Bayesian machine learning to improve risk management for bridge portfolios. We offer a funded PhD position in an excellent research environment. The project Our infrastructure is aging, and decisions about
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primary objective remains the completion of a high-quality doctoral dissertation. Throughout the process, students benefit from the guidance of internationally recognised professors and scientists, ensuring
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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processes and – in light of the continent’s specific contemporary challenges – to the multifaceted aspects of peace and security in Africa. The general objectives of the PhD programme are to produce scholars
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and as part of a team Understanding of dynamical systems, time series models, machine learning, Bayesian statistics, experience in handling environmental and climate data is a merit We offer: This
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part of a team Understanding of dynamical systems, time series models, machine learning, Bayesian statistics, experience in handling environmental and climate data is a merit We offer: This position is
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, PCR), of protein expression, purification and modification, of protein-chemical analysis and detection, of biophysical measurement (e.g. circular dichroism, fluorescence polarisation, FRET analysis) and
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The work takes place within the framework of MeGaBat project in which the recovery of critical raw materials from battery recycling industry is the overall objective. The aim of the predoc is to
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Next Working LanguageEnglish LocationBerlin Application Deadline31 Jan 2026
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to make Sodalis praecaptivus less virulent? How do regulatory layers modulate metabolic fluxes under symbiotic versus free-living conditions? Objectives and methodology The specific objectives will be