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applications for a PhD Research Fellow position in fairness in artificial intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group
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e-environment, as the author of BAASIK; develop new developmental-support interventions in the cognitive and learning-skills domain for children aged 1–6 years; set up and lead 6 experimental studies
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Assistant Predoctoral - PhD Position in Inorganic & Materials Chemistry 52 Faculty of Chemistry Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc
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://isor.univie.ac.at/ ) of the University of Vienna is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting on 01 March 2027. The group's research is focused on the current
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. Randomization, participant training, and implementation of the intervention. Mandatory requirements: PhD obtained within the past 7 years, with degree completion by January 2027. Availability to conduct the post
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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
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ordinances. Find more information here: https://ccri.at/ . Your application We are looking forward to your application! Applications should at least contain: - CV - Cover letter (Why do you want to do a PhD
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or conferences. Open-source software developed by the team can be found at: https://github.com/GIN-iEEG Contact: Julien Bastin, PhD Inserm Research Director Head of the Brain, Behavior and Neuromodulation Team
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the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the Department. Duties The appointee will be required to: (a) teach and contribute to curriculum development
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Description Start date/duration 15.02.2027 for 4 years Job profile: Your responsibilities: PhD thesis in the field of Empirical Finance Independent research in the field of Empirical Finance Independent