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8 Apr 2026 Job Information Organisation/Company MORE – Laboratório Colaborativo Montanhas de Investigação – Associação Department Bio-based Products and Processes Research Field Chemistry » Other
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contributing to an environment that heightens the student athlete experience. Through oversight and direct interaction this position will play a key role in data collection, analysis, and communication
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Université Paris-Saclay GS Biosphera - Biologie, Société, Ecologie & Environnement, Ressources, Agriculture & Alimentation | Gif sur Yvette, le de France | France | 10 days ago
and/or evolutionary biology is highly desirable. Experience in data analysis (e.g., R or Python) is expected, and familiarity with omics data (transcriptomics, genomics, or epigenomics) will be an asset
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European biodiversity hotspot - for more information look at https://ser-insr.org/news/2017/12/29/grassland-restoration-in-the-white-carpathian-mountains ). Effectiveness Assessment: Quantifying real-world
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Montpellier, Languedoc Roussillon | France | 2 days ago
sampling Knowledge of laboratory techniques in molecular biology, biochemistry (ELISA), and respirometry is desirable Skills in data analysis (R, statistics) You have the following qualities : Rigor and
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perspectives are best attained and reached together in collaboration with others – our colleagues, students, the private and public sectors, both nationally and internationally. Employment information Employment
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investigations of the Martian atmosphere and surface using data from the Emirates Mars Mission (EMM) “Hope” probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination
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in experimental design, data analysis, and scientific writing Added value: expertise in microbial ecology, bioremediation, or omics-based approaches Where to apply Website https
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Website https://pica.cineca.it/units/2026-idr-dia-01/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies
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and ML pipelines for drug synergy, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is