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Field
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of sedimentology, geochemistry, and microbiology, and general use of destructive, extraction-based methods that are designed for the analysis of large sediment samples. These bulk methods are quantitative but
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include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program. The
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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Qualifications PhD in public health or related field obtained within the last five years. Proven ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self
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research teams to drive impactful studies Mentor trainees in different aspects of clinical research Minimum Qualifications PhD in public health or related field obtained within the last five years. Proven
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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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work. The museum provides excellent research facilities in-house, with outstanding in-house expertise in DNA-based and molecular biology methods, microscopy and visualization, and analytical 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