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Research Grant under the project “CleverHinge”, with nr. 21202 and operation code at the Funds Platform (Balcão dos Fundos) COMPETE2030-FEDER-02209600, co-financed by COMPETE 2030, by Portugal 2030 and by
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‘building’-based paradigm. The successful applicant will have (or be near to completion of) a PhD in Philosophy with expertise in at least one of: formal ontology, social ontology, and metaphysics. The post
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following areas: -Biophysical instrumentation development: optical and mechanical design, simulation, development and control -Optical imaging; Single-molecule fluorescence and FRET; Lasers; Pump-probe
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, and reporting; iv) competence in developing and applying content analysis models, including the construction of coding tables and databases; v) experience in qualitative and quantitative methodologies
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and analysis. The analysis involves mathematical proofs and empirical evaluations (require writing codes) on the proposed algorithms and existing benchmarks. • Prepare slides and present scientific
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computational pipelines for multiplex imaging, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune
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equipment, facilities, space and services . These include a magnetic resonance imaging facility, a cellular imaging team with advanced microscopy instrumentation, customized molecular and genetic tools
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approach, combining in vivo imaging, high-density electrophysiological recordings (e.g., Neuropixels), behavioural assays, and molecular/genetic tools to record from, manipulate, and trace neural populations
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picture Independent and creative thinking Being positive and enthusiastic Willingness to contribute to a positive working environment Employment in the position is based on a comprehensive assessment of all
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich