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target trials, group-based trajectory modelling, mediation analyses, and Bayesian modelling approaches to investigate adherence to cancer treatment and recurrence. The research fellow will join a vibrant
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and learning occurs in a recursive Bayesian process by which the brain tries to minimize the error between the input and the brain’s expectation. In particular, MIB focuses on how music is involved in
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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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. Ability to work independently, think analytically, and approach tasks systematically while maintaining a clear focus on objectives. Adaptability and ability to communicate in a constructive and respectful
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proven track record of research publications. Proven ability to conduct independent research Effective communication and mentoring skills. A commitment to diversity and inclusion in the workplace
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, which also encompasses single-cell resolution spatial transcriptomics of human plaques to precisely identify and characterize disease-relevant smooth muscle cell phenotypes, a parallel track of organoid
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be considered an advantage if applicants can document A track record of research publications of a high international standard commensurate with the length of the applicant’s academic career Experience
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candidate is expected to contribute to the overall objectives of the project by being involved in the project management, data collection, and data analysis. The candidate is also expected to contribute
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environment is also an advantage. A collaborative mindset and proven track record is an advantage. Excellent communication skills and interpersonal skills as well as an excellent command of the English language
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of publications A 2-page research statement (max 1000 words), highlighting achievements, methodology, research objectives and their relevance to the field PtX and storage Applications received after the deadline