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, text analysis); Demonstrated excellence in independent academic research, commensurate with the level of a research masters, as evidenced by an (R)MA thesis and/or academic publications; A demonstrable
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the contract period; 3. Experience in implementing neural rendering models; 4. Practical experience in the analysis of scientific data; 5. Proficiency in programming with Python; 6. Familiarity with the neural
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: 11.03.2026 Research Areas and Methodological Focus 1. PFAS Toxicity and Underlying Mechanisms in Zebrafish Embryos Analysis of PFAS effects across different biological levels using molecular biology techniques
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 8 days ago
Skills/Qualifications Profile that we are seeking The candidate must have well-established skills in economic theory, analysis, and modeling, as well as in econometrics and quantitative analysis (spatial
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. Characterization and data analysis. Communication and dissemination activities. Support activities regarding management, coordination and exploitation. Where to apply Website https://sede.uvigo.gal/public/catalog
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materials. · Interest in electrochemistry, solid‑state ionics, high‑throughput experimentation and data‑driven research methodologies. · Basic familiarity with Python, data analysis or machine‑learning
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of at least 6 years. SPECIFIC APPLICATION REQUIREMENTS: a. Experience in primary human cell cultures. b. Experience in multiparametric flow cytometry for the analysis and sorting of cellular and
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Laboratoire INSERM UMR1311 Rouen Normandie Université | Rouen, Haute Normandie | France | 6 days ago
English (written and oral) is required for international communication • Bonus: Basic knowledge of bioinformatics (e.g., Python, R) or image analysis software (Imaris, ImageJ) is an asset Additional
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water treatment. Job requirements Need-to-have: A Master's degree in Water Treatment, Environmental Engineering or related field. Laboratory skills for basic water analysis. Data analysis skills
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representations Analysis of structure–function relationships between morphology and movement Modelling genome–phenotype relationships using machine learning and genomic language models The project offers a unique