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, extraction, and clean-up; iii) detecting and identifying contaminants using LC-HRMS; iv) performing semiquantitative analysis; and v) applying effect-directed analysis (EDA) to link chemical presence with
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its fullest potential. THE ROLE During your internship you will work on a projectin the Functional architecture of neural circuits group (https://rossilab.iit.it ) coordinated by Federico Rossi
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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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Université Clermont Auvergne / CAP Europe | Clermont Ferrand, Auvergne | France | about 17 hours ago
: 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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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