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of programming and data analysis (Matlab, Python, etc.). 4) Extensive knowledge of immunohistochemistry. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5297-MELDES0-303/Default.aspx Work
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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of the ethane-oxidation process from an anaerobic microbial enrichment, thereby breaking the accepted metabolic model of archaeal alkanotrophy. Each successful candidate will join our effort to pioneer
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(SustainCARE, https://doi.org/10.3030/101220359 ), led by Dr. Yun Liu. SustainCARE brings together heritage science, building physics, advanced modelling, and climate-conscious preservation, offering a unique
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The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring place to work and study. Strong
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are working as Peer Leaders who foster collaborative and active learning environments for undergraduates in a variety of classes. To model this educational setting, the Pedagogy of Peer-Led Learning course is
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Howard Hughes Medical Institute - Janelia Research Campus | Virginia Beach, Virginia | United States | about 9 hours ago
this position, you will work with us to develop new models in that framework and maintain computational infrastructure. This role will require deep knowledge of the underlying models as well as practical
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-coupled power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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information about this assessment on our website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/359162/postdoc
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
research task is to model semantic change and conceptual structure using Natural Language Processing. We will build customized NLP pipelines for premodern Greek and humanistic Latin, train and evaluate word