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FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento | Portugal | 19 days ago
for chemical or related applications; Proficiency in Python programming (TensorFlow, PyTorch, Scikit-learn). ¹ Degrees awarded by foreign institutions must be officially recognized by a Portuguese institution in
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large-scale speech and wearable data from participants in the GLAD Study cohort ( https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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Grenoble Observatory of Universe Sciences (OSUG) and a joint research unit (CNRS, UGA) with approximately 170 staff members and numerous temporary employees. https://ipag.osug.fr/ The CHARM team, led by
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analysis and familiarity with R, python or another programming language Experience in molecular biology techniques including immunohistochemistry, qPCR, cell culture, ELISAs Software experience including
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Generation, Power, and Energy Storage (Battery and Fuel Cells). Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between
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Analysis 50% Development and implementation of data analysis methods to be used on two-photon imaging datasets collected by scientists within the center Write custom codes in Matlab and Python Develop
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of electrolysis Prior knowledge of electrochemistry desirable Willingness to learn additional electrochemical methods Good analytical and data processing skills with open source software, e.g. Python High degree
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citizens in their choices, public authorities in their decisions and businesses in their strategies : https://www.list.lu/ How will you contribute? The trainee will work within the LIST AI Technical Sandbox
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, propensity-score matching). Develop and implement protocol for quality control. Develop reproducible code in Python and/or R for data wrangling, analysis, and visualization. Create analytic files with detailed
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in