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for individual-, longitudinal-, and group-level inference Applying advanced statistical models for longitudinal data (e.g., mixed-effects models, missing-data handling) Integrating imaging outputs with behavioral
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diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate who has: a PhD in neuroscience
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-of-the-art data management, machine learning and statistics techniques. With the advancement of Exascale systems and the variety of novel AI hardware designed to accelerate both training and inference
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://psych.ucsb.edu/ Lab: https://lapatelab.psych.ucsb.edu/ Qualifications Basic qualifications (required at time of application) At the time of application, candidates must have completed all requirements for a PhD
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meticulously detailed records of all experiments and procedures in a laboratory notebook; perform statistical analyses of data obtained from experiments and render interpretations of the data. Operations - 10
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the following composition: President: Newton Carlos Marcial Gomes, PhD, Principal Researcher with Habilitation at the University of Aveiro Jury members: - Manuel António Coimbra Rodrigues da Silva,PhD, Full
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National University of Singapore, Department of Statistics & Data Science Position ID: 3020-POSTDOC [#27642] Position Title: Position Type: Non tenure-track faculty Position Location: Singapore
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experiments in accordance with the project schedule of the NCN SONATA BIS project entitled: “Study on novel sensing layers for determination of quorum sensing signal molecules”, led by Kamila Sadowska, DSc, PhD
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Science including quantitative and qualitative consumer research methodologies, and experience in designing consumer studies in and out-side Denmark. Solid experience in statistical analysis are preferred
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data