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Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation
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to process and often have to be postponed to a later Selection Committee meeting. The deadline for meeting certain formal conditions – in particular those relating to limitations on career stages and previous
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to publications involving several authors); originality and innovative potential of your proposed research (significance for the further development of the subject area, convincing selection of scientific methods
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or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and
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specifications e.g. for creating a list of publications, will be rejected for formal reasons without further review. You are therefore requested to check your documents especially carefully to ensure
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This position is in person at J.J. Pickle Research Campus in North Austin. Purpose To use advanced geochemical modelling to devise attribution monitoring methods for CO2 leakage in groundwater and surface
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proposed research (significance for the further development of the subject area, convincing selection of scientific methods, potential for scientific development, clear focus and feasibility within