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Field
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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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information on beginning, duration and mode of study No specific regulations Application deadline No specific deadlines Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint
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, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell
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characterization of natural and designed proteoforms with the aim of identifying variants that mediate improved thermo-tolerance Your profile: university PhD in biochemistry, biology, or a related discipline
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opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here Salary and social
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) in mineralogy, geology or chemistry. Doctorate (PhD) in mineralogy, geology or chemistry. Desirable: - Doctorate completed with a grade of “very good” in geology, mineralogy or chemistry with a focus
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Max Planck Institute for Comparative Public Law and International Law, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 27 days ago
, and contribute to joint projects, publications and academic events. There are no formal teaching requirements attached to this position. Profile and requirements A completed PhD in law or political
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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the
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, cognitive science, or related fields demonstrated expertise in one or more of the defined focus areas strong analytical and problem-solving skills, with experience in experimental design, data analysis