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-performance computing and big data analytics PhD must have been received within the last three years. Preferred Qualifications: Demonstrated understanding of model validation, clinical trial design, and causal
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to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication
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the broader areas of multi-modal learning analytics, AI in education, and (computer-supported) collaborative learning. The successful candidate will join the interdisciplinary DFG-funded project AEyeCoL
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to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability
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and impact models into a unified tool that provides actionable insights for decision-makers under stress. About You: You will hold a PhD or equivalent research experience in a relevant discipline such
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organization of internal workshops and conferences Qualifications PhD in policy studies or a related field in the social sciences Strong analytical skills and experience conducting independent research Due
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analytical and numerically inclined candidates are encouraged to apply. The nominal starting date is Fall 2026 (with flexibility on the precise start date). The position is for an initial two years, with
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element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent
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, Qualifications & Requirements: Required Qualifications The ideal candidate will hold a PhD in the field of psychology, neuroscience, computer or data science, physics, or physiology with brain imaging experience
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English English PhD Research Fellow in Formal Methods and Knowledge Representation for Engineering Information Apply for this job See advertisement About the position We invite applications for a PhD