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with spatial resolutions approaching tens of nanometers. However, current reconstructions are slow, expert-driven, and difficult to scale, preventing real-time experimental decision-making and broader
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
perspective. It focuses on the literature of Actor-Network Theory, evidence-based design, appropriate design, spatial analysis, participatory design, technological innovation, and the mapping of controversies
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collection, spatial statistics, and spatial modeling, and an ability to leverage quantitative analysis to co-produce environmental solutions with local community organizations, stakeholders, and rights-holders
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University of Freiburg (Uni Freiburg) | Freiburg im Breisgau, Baden W rttemberg | Germany | 3 months ago
strategically develop a laboratory program in surgical research focused on oncoimmunology and tumor metabolism in colorectal cancer within the scientific framework of TRR417 (https://www.trr417.de) Design and
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
. The project integrates state-of-the-art molecular biology, functional genomics and cancer models with computational analysis of large-scale sequencing datasets. The primary focus of the PhD project is
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. Editing of existing maps and the use of ArcGIS software for spatial data analysis is included in the introductory course. Special Assignments May be required to perform other duties as assigned. May be
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working with remote sensing and AI-based data analysis; Scientific publication record; Willingness to work in a collaborative environment. Application Materials Application Process: Apply online at https
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
and clinical characterization among the main objectives. One key aim of the group is to further the development of bespoke solutions for cancer imaging based on spatial analysis and kinetic modelling
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to support sustainable offshore energy development and maritime spatial planning. This PhD position is embedded in the NWO-ORC project NO-REGRETS, coordinated by Royal Netherlands Institute for Sea Research
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produce syntheses. Develop data collection, processing, and analysis tools. Design, optimise, and evaluate deep learning models. Progressively supervise research assistants. Contribute to the writing