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the context of type 1 diabetes. Essential Master's in bioinformatics, data science, biomedicine, bioengineering, biotechnology or related fields Programming experience in Python and/or R Excellent
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researcher. You have experience with field and laboratory methods in soil or ecosystem ecology. Analytical thinker. You are familiar with statistical data analysis, ideally using R. Collaborative and
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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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Description Applications are open for 1 Research Studentship, within the framework of project R&D R2UTechnologies | Modular Systems, 1018P.06284, financed by national funds through the Resilience and Recovery
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international conferences in both technology and industry-specific forums. Additionally, you'll receive specialized training in commercial R&D practices, intellectual property management, and business development
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The research group of Neurogenetics and Aging of IMBB under in the of the R&D project Excellence Hubs, CHAngeing - Connected Hubs in Ageing: Healthy Living to Protect Cerebrovascular Function (reference: GA
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performing data analysis of B cell receptor repertoire data using programming languages (mostly R) Successful candidates can think independently, are eager to acquire necessary new skills, and are excellent
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Compétences approfondies de programmation en R ou Python Une première expérience d'analyse de données génomiques ou en biostatistique est recommandée. Forte appétence pour le travail multidisciplinaire et en
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data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments
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trustworthy ICT systems and services. We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and