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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 faculty here . About the research project The position entails research in biostatistics and clinical epidemiology, with a particular focus on causal inference and methods in pharmacoepidemiology
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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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linear ballistic accumulator models, diffusion models, biased competition models, or Bayesian models. During the employment, the candidate is expected to engage in the development of computational models
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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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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
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The successful candidate should have a proven track record of publishing in peer-reviewed international journals and possess excellent communication and academic writing skills in English. As a formal
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projects Furthermore, it will 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