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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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to knowledge in one or more of the following areas: machine learning, cybersecurity, or computer systems Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in
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comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically
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, programmers, and interdisciplinary collaborators. Minimum Requirements: Graduate degree (PhD or Master’s degree) in biostatistics, bioinformatics, computational biology or a related quantitative field OR
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: (a) graduate-level courses that cover the fundamentals of scientific programming, quantitative data analysis, and statistics; and (b) modular short courses and workshops that cover more advanced topics
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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“). The monthly salaries in euro can be found on the BMI website: https://go.fzj.de/bmi.tvoed.entgelt Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is
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an interest in image analysis and instrumentation. Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR6251-ANAGAU-002/Default.aspx Work Location(s) Number of offers available1Company
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electrochemical techniques. Experience with data visualization and analysis software. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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23 Mar 2026 Job Information Organisation/Company Universidade da Madeira Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Apr 2026