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approaches. The PhD will develop and apply optimization-based energy system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical
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private companies and actors from the healthcare sector. Several key infrastructure facilities are available, including specialized laboratories for spatial omics, mass spectrometry, flow cytometry, and
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several types of spatial growth patterns which correlate with therapy efficiencies and overall survival (Vermeulen et al. J Pathol. 2001 , Nielsen et al. Mod Pathol. 2014 , Baldin et al. J Pathol Clinical
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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics
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“Enhancing Machine Learning Approaches for Spatially Dependent Data in Fisheries and Environmental Research” (CMAT, University of Minho), reference 2024.15617.PEX, financed by national funds through
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rolling basis with start dates as early as 1/1/2026 and as late as 3/1/2026. Group or Departmental Website: https://simpsoba.su.domains/ (link is external) How to Submit Application Materials: Please upload
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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Group or Departmental Website: https://plevritislab.stanford.edu/ (link is external) https://ccsb.stanford.edu/ (link is external) How to Submit Application Materials: Go to: https
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of visual texts and will focus on the semiotic analysis of the design dimension,whether artistic,design-related,or architectural,with particular reference to the role of corporeality and spatiality and the
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Postdoctoral Research Fellow in spatial and computational disease ecology and epidemiology, focusing on the historical dynamics of the plague bacterium (Yersinia pestis), including how it might have been