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Field
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Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
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data analysis is required. The lab mostly uses R for data analyses; knowledge of R is not required, and the postdoctoral scholar will have the opportunity for mentorship and learning. To Apply: Motivated
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neurodegenerative mouse models Experience in developing image analysis workflows (Python, MATLAB, R, Imaris) Experience in histologic post hoc brain tissue analysis (IF, IHC, RNAScope) Experience in antibody
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knowledge of molecular biology techniques and protocols (PCR, qPCR, DD-PCR) • Strong skills in numerical data processing (proficiency in R) • Ability to integrate into a multidisciplinary team and participate
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, Environmental Science, Remote Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record Where to apply
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PauloGeofield Contact State/Province São Paulo City São Paulo Website http://www.fapesp.br/oportunidades/ Street R. Pio XI, 1500 - Alto da Lapa Postal Code 05468-901 STATUS: EXPIRED X (formerly Twitter) Facebook
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Theory. Analyze large-scale educational datasets using statistical software such as R Support development of cognitive diagnostic assessments and item banks for introductory physics and calculus courses
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software (e.g., MPlus, R, or Stata). Applicants must have graduate training in psychology, neuroscience, medicine, or another advanced degree in a related discipline (Ph.D., Psy.D., M.D., or equivalent); and
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Science, or a related field. Demonstrated experience in image or signal processing, instrumentation data pipelines, or similar. Strong programming skills in Python, R, or MATLAB. Experience with statistical
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Python and R; - Demonstrable experience with Machine Learning; - Excellent problem-solving skills and the ability to work both independently and as part of a team. This position is for full-time, on-site