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cells developed in our group. References: [1] C. J. Traverse, R. Pandey, M. C. Barr, R. R. Lunt, Nat. Energy, 2017, 2, 849–860. [2] (a) W. Naim, V. Novelli, I. Nikolinakos, N. Barbero, I. Dzeba, F
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 2 hours ago
periodic time series. Responsibilities also include coding the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real
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. R. (2018). Integrating community assembly and biodiversity to better understand ecosystem function: The Community Assembly and the Functioning of Ecosystems (CAFE) approach. Ecology Letters, 21(2
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(affecting animals, humans, and plants) · General knowledge of urban ecology · Experience with data analysis, particularly using R software · Scientific rigor · Strong organizational
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, neuroscience, psychology, or related fields. Experience in programming and data analysis (e.g., PsychoPy, R). Ability to supervise and train undergraduate and master's students in the laboratory. Excellent oral
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and training of non-human primates. • Excellent programming skills (R, matlab, etc). • Knowledge of legal and ethics frameworks • Ability to work independently as well as part of a team • Ability to
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knowledge in at least of the following techniques : EEG, MRI, TMS • Good programming skills (python, R, matlab). • Knowledge of legal and deontological frameworks • English : B1 to B2 Know-how • Organise
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researchers, PhD students, engineers and technicians in a multicultural and international environment. The candidate will join the group of Malene R. Jensen, which specializes in understanding the role
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such as Python, R or Labview would be an asset. The ability to work in a team and a good command of English are required. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5629
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visualization. Experience with GWAS, Bayesian modelling, and/or machine learning applied to biological data. Strong programming skills (R, Python) and ability to manage large-scale -omics datasets. Good