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Field
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recognition code. In this project, we take a bottom-up approach to study synapse assembly: we will reconstitute minimal, well-controlled synaptic contacts and subject them to detailed structural
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subjective data sources to separate overlapping signal components and isolate meaningful patterns in complex datasets. · Develop AI and XAI (explainable AI) models to analyse and interpret physiological
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analysis of mass spectrometry-based proteomics Study the association of protein abundance with symptoms during pregnancy Investigate whether patterns in proteomic data can inform on later health of mother
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of teacher education in Lleida during the 19th and 20th centuries. The PhD research line focuses on the design of a Public History digital archive targeted to historians, educators, and the wider community
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out the following tasks: Conduct research in the field of (bio)sensors for non-invasive monitoring; Be responsible for the design, production, purification and characterisation of peptides and proteins
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situation. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction
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be used to build process models describing the performance and impact of degradation. The overall aim is to increase our understanding of how to design cost-effective CO2 capture plants through a
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design and skills seminars. During the following years, an increasing amount of time is allocated to independent work on the thesis. Researchers regularly present their research findings at colloquia
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | about 2 months ago
at Universidade Lusófona (Lisboa) in the context of the HEI-Lab research unit, under the scientific supervision of Professor Pedro Gamito. Responsibilities of the position include: Design and implement software
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, MONAI) Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not