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reproducible research. Relevant expertise may include NLP, large language models, computational social science, social-network analysis, causal inference, survey or behavioral experiments, recommender systems
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, biomedical data analysis, medical imaging, or related domains; At least 3 years of managing experience in international R&D/I projects related to AI in healthcare, wellbeing technologies, multi-modal data
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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Advantages: Experience in the analysis of gene regulatory networks Experience with CRISPR and/or lineage barcoding methods Experience in genomics method development Experience in leukemia or immunology
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develop and become more severe, and as they improve with treatment conditions. These studies aim to provide the rationale for development of neuromodulatory approaches designed to reshape network activity
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Python. Knowledge of machine learning, data analysis, and experimental evaluation methods. Familiarity with cybersecurity concepts, intrusion detection, and network or system security. Ability to work with
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-IMPACT ( TURBOmachinery Innovative Manufacturing, Processing, Analysis, Characterization, and Topology; Website: https://cordis.europa.eu/project/id/101311350 ). The TURBO-IMPACT project, funded by
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 4 days ago
spectrum reflecting the chemical composition of the sample. Using this approach, the project partners https://www.multi-opto-diag.fr/khi-malma-piq/ recently demonstrated that the so-called “silent region
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Role: Research Associate in Quantum Networks Grade and Salary: Grade 7 - £37,694 - £47,389 per annum FTE and working pattern: Full Time (1FTE), Fixed Term for 5 months Holiday Entitlement: 33 days
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do feel free to share the vacancy in your network! Want to know more? We’re happy to provide more information! Sanna Rijpma 📱 06 31 01 51 92 📧 Send an email Website for additional job details https