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of Big Data Analytics, particularly within a research environment, would be advantageous. The role requires a strong track record of high-quality academic publication, including publications as first
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novel analytical pipelines, tools, and methods to study cancer multi-omics data Develop foundational methods and resources for the integration of single-cell and clinical transcriptomes Establish
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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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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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to improving the care, treatment, and well-being of patients. The Department offers academic degrees at the bachelor’s (Bachelor of Medical Laboratory Science (BMLSc)) and graduate (MSc, PhD) levels with
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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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-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 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