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information processing and storage within single molecular systems, with potential applications in nanoelectronics and AI systems. Head of Research Team No. 4 – Conductivity Measurements The person appointed
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Job description: At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who
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background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript of all modules and results from university-level courses
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD medication in both
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approachesConduct large-scale
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We offer We offer a Principal Investigator position where you will lead your innovative, technology-focused research line, expand the department's computational core, and drive large-scale, data
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demonstrated the ability to win and manage large-scale research projects and have experience and a good reputation as a supervisor of students, PhDs, and postdocs. You appreciate teaching and have documented
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Pathogens, a WHO Collaborating Centre, and a member of the Leibniz Research Association. The Computational Infection BiologyDepartment, led by Thomas Otto, is seeking a highly motivated PhD Student (in data
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“big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental