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Field
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Offer Description MSCA Doctoral Network EMANAIRE, DC10: AI-Mediated Communication and Collaboration Norms at Work Position details Recruiting institution: Hanken School of Economics, Department
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 17 hours ago
biomarkers and patient cohorts Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc
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probabilistic modelling, latent-variable methods, and structured unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning
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will have the opportunity to collaborate closely with external partners, including organisations in digital learning and the charity sector. The PhD position is fully funded for the duration of four
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The project will be carried out primarily at the CLLE laboratory (UMR 5263) at University of Toulouse – Jean Jaurès (UT2J), in collaboration with the Institut de Recherche en Informatique de Toulouse (IRIT
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project in a collaborative research environment and to gain experience in a broad range of state-of-the-art experimental approaches. INFORMATION ABOUT THE RESEARCH PROJECT α2δ proteins are abundantly
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willingness to learn Swedish. A valid driving licence. Personal qualities, including curiosity, initiative, reliability, organisational ability and willingness to collaborate, will be important in the selection
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collaboratively in field and multidisciplinary research settings. The following are desirable: Experience of fieldwork, particularly forest inventories or field experiments. Experience of GIS and spatial data
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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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. The ability to communicate scientific work clearly in spoken and written English. The ability to work both independently and collaboratively in field, laboratory and multidisciplinary research settings