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Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. | Dortmund, Nordrhein Westfalen | Germany | about 6 hours ago
» Analytical chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 25 Mar 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part
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Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range of
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Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range of
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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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the university The PhD programme does not offer any scholarship opportunities right now. However, the LMU offers divers funding possibilities. Please have a look at the LMU website: https://www.lmu.de/en/workspace
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into microscopy image analysis and analytical data analysis workflows, together with other team members Building new foundation models for microscopy image analysis Implementing AI-based microscopy image analysis
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UnitedKingdomTime) Position Description: Apply Position Description At the University of Göttingen -Public Law Foundation-, Graduiertenkolleg Fourieranalysis und Spektraltheorie, there is a position as PhD candidate
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Main Suite or TOEFL are recommended. Application deadline Any time Submit application to Further information: https://www.uni-goettingen.de/en/application/138988.html Accommodation The Accommodation
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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics
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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