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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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a planned randomized experiment. The fellow will be involved in data cleaning, data analysis, design of the experiment, academic and policy writing. The candidate will work under the supervision
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. Qualifications Hands-on experience in data analysis An experience in astronomical/scientific data analysis is preferred. 1-year experience in Python programming is essential. (Required) Hands-on experience in data
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respond to sound in ways that influence physiology, root function and pollination. This project will combine experiments, analysis and multiphysics modelling to establish credible mechanisms, limits and
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Precession Electron Diffraction (SPED) into an existing and well-equipped (S)TEM environment and the development of robust data analysis routines to enhance nanoscale orientation and phase analysis in aluminum
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: https://www.uca.fr/recherche/presentation * Host Laboratory: https://celis.uca.fr * Information and resources on international mobility: Euraxess Auvergne Services Centre * Visa applications: Campus
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) Analyze non linear phenomena regarding material non linearities like creep in the analysis of structures. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2026/004325 Requirements
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aerobic and anaerobic conditions. The main activities are: - Perform environmental metagenomics analysis from laboratory and field bioremediation experiments. - Determine relevant functional and taxonomic
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review and experiments on operational systems. Analysis of results and drafting of an interim report. Implementation of new characterization systems. - Year 2: Experimentation and analysis of newly
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investigates the hypothesis of accelerated aging in schizophrenia, focusing on the analysis of the epigenetic clock in older adults. Position Requirements: Demonstrated experience in functional brain