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] and taphonomy of animal bones [Cifuentes-Alcobendas and Dom´ınguez-Rodrigo, 2019] are gradually intensifying. Thus, the present PhD project is an opportunity for the development of original ML solutions
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, you will be a member of a team of 8 to 10 energy system modelers. You will contribute to the development, maintenance and use of our linear programming-based dispatch and unit commitment model of the EU
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the use of synthetic data in precision medicine research and applications through development of AI algorithms, tools and other processes to allow for the enrichment of clinical data sets Providing training
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wishes to develop work involving behavioural/experimental economics, in collaboration with energy economists. To this end, we are looking for a research associate who can help to drive forward this new
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only to healthy knee bone structures in the context of elective orthopedic surgery [5, 6]. Moreover, many of these models are developed by private companies for implant placement, limiting accessibility
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OXPHOS deficiency and the development of mitochondrial disease (MD). We will study the pathogenesis of MIP-linked mitochondrial disease by characterizing MIPs role in mammalian mitochondria. Additionally
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algorithms will be developed to extract discriminative and predictive features from a multimodal dataset consisting of digital histopathological images, lung CT images, clinical, genomics, and multiproteomics
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
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The project will be developed in the host laboratory(SIMHEL/U978) whose main pathophysiological models are two CD5+chronic B cell neoplasms (chronic lymphocytic leukemiaand mantle cell lymphoma