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Description Research project: CONTEXT DEPENDENT INTERACTIONS IN COMPLEX SYSTEMS: DYNAMICAL PROCESSES PID2024-158120NB-C22 Exhaustive analysis of bibliographic data bases within the framework of the research
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- Handling of strawberry plants - desirable - Experience in ChIP-seq data analysis – desirable Additional Information Selection process WORKING CONDITIONS: Contract Duration: 3 months Hours/week: 37,5
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well suited include soil science, agronomy, plant or environmental sciences. Experience in areas such as bioinformatics, image analysis, statistics, or modelling applied to plant-soil systems would be
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compound analysis may be considered an asset. Who can apply? Candidates must have a PhD degree and must have obtained their (first) PhD a maximum of 8 years before the deadline of each call according
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development of analytical solutions, data analysis and machine learning. Candidates should have a demonstrated record of scientific publications in international journals and participation in conferences
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induction, working mainly with milk. •Study of packaging using biobased materials and modelling of the effects on quality of packaged food. Carry out literature review, manage data collection and analysis
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this towards photonic and optoelectronic applications. In this project, you will work on optothermal effects in 2D materials. Main Tasks and responsibilities: To perform optothermal measurements, analysis and
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Science, Chemistry, Computer Science, or related disciplines. Specific Requirements Knowledge and Professional Experience: • Knowledge of programming languages used in data analysis (particularly python) is
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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will
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patients in remission from diabetic foot disease. Main duties include patient follow-up visits, clinical data collection, completion and maintenance of research databases, and analysis of collected datasets