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histology of Multiple Sclerosis PhD candidates: contribute to the design and execution of their research work with relevant methods and technologies in their field interpret and discuss results within
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and validate them across multiple cancer cohorts Link CIN programs to outcomes and therapy response using large public datasets and modern predictive modeling Integrate CIN signatures with functional
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workflows and benchmark methods (simulation + real datasets) Develop rare-event–sensitive CIN/aneuploidy metrics and validate them across multiple cancer cohorts Link CIN programs to outcomes and therapy
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and practical application Skilled in coordinating interdisciplinary teams, aligning contributions, and fostering collaboration across research and industry partners Experience in personnel development
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with opportunities for remote/hybrid work, but as part of a close research team, multiple weekly in person meetings are required. • Good public transport connections: Your workplace will be right in
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, multiple weekly in person meetings are required. • Good public transport connections: Your workplace will be right in the centre of beautiful Vienna (1st district, less than 5 minutes’ walk from
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as part of a close research team, multiple weekly in person meetings are required. • Good public transport connections: Your workplace will be right in the centre of beautiful Vienna (1st district