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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
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, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills
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disciplines (meteorology, environmental science, high performance computing, software development and data science). Your Profile: Mandatory qualifications are: M. Sc. degree in meteorology, physics
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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international conferences Supervise student theses Your Profile: Excellent Master`s degree with a strong academic background in computational engineering, mathematics, computer science, physics, engineering or a
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-historical, transregional, transtemporal and/or intermedial framework. For 2026, the Friedrich Schlegel Graduate School of Literary Studies (FSGS) offers the following positions and grants: up to 10 PhD
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-semester Master's degree) or a 3rd cycle which usually takes place in two semesters (concert examination, masterclass or PhD in an artistic subject). Funding for a Master's degree programme/a postgraduate
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School of Computer Science , which is responsible for all PhD students in Computer Science at Saarland University and with the PhD Program at the Department of Computer Science of RPTU Kaiserslautern