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abilities. A proven track-record of research, through publications in top international journals and conferences, is expected. Applicants should also be proficient in programming for machine learning and
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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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collaboration with survey providers in Denmark and Germany. Analyzing survey data using quantitative methods such as conjoint analysis, regression modeling, and causal inference techniques. Writing academic
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. The ideal candidate for the position is a driven early-career scientist with a deep and genuine interest in seeking to better influence and complement chemical synthesis by inferring mechanistic details
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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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Communication, Singal Processing, Low Power Electronics, Wireless Sensing, Low-Power System Design, Machine Learning & Edge Inference, Underwater acoustic communication. Furthermore, you have a proven record of
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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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by excellent grades in relevant courses from your education and a stellar track-record as an engineer/researcher as evidenced by your publications. You should have significant experience within several