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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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experience working with cohort data or electronic health records is an asset; Interest in digital health and diabetes research; Proficiency in R and/or Python; Excellent writing and communication skills in
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, including the development and use of 3D models and the study of extracellular vesicles Analyze high-throughput data sets using R or similar software Present research findings in meetings Document performed
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strong writing skills. Knowledge of French is not required but would be appreciated. References: [1] M. Mercuri, G. Sacco, R. Hornung, H. Visser, I. Lorato, S. Pisa, P. Veltri, and G. Dolmans, “Enhanced
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. References [1] a. Daumann, L. J. Essential and Ubiquitous: The Emergence of Lanthanide Metallobiochemistry. Angew. Chem. Int. Ed. 2019, 58 (37), 12795–12802; b. Featherston, E. R.; Cotruvo, J. A
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: Programming in Python and/or R Data science (e.g., tidyverse, pandas) Machine learning (e.g., scikit-learn) Deep learning (e.g., PyTorch, Keras3) (Optional) bio-signal processing and brain imaging (e.g., EEG
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−3824.[8] R. Dettre, R. Johnson, Contact Angle Hysteresis. IV. Contact Angle Measurements on Heterogeneous Surfaces, J. Phys. Chem. 1965, 69, 1507−1515.[9] Alejandro Palacios, Léon Chiriatti and Vincent
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., & Fessler, J. A. (2022). Bilevel methods for image reconstruction. Foundations and Trends® in Signal Processing, 15(2-3), 121-289. [Fablet2021] Fablet, R., Chapron, B., Drumetz, L., Mémin, E., Pannekoucke, O
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; environmental sciences; physical chemistry; etc. Skills Knowledge Advanced to proficient knowledge of scientific programming (e.g., Python, R, Matlab, ...) Previous experience in time series analysis of air