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sequencing data from up to 10,000 trees. We are using birches (Betula) as our model organism, as they have a relatively small genome, they are adapted to their local environments and there are accelerated
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) PhD or foreign equivalent degree in hand by August 2025. Preferred Qualification: PhD or MD in Biomedical
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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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space through spatial ‘omics approaches. Responsibilities and qualifications The successful candidate should be eager to pursue ambitious research questions using latest-technology workflows and chart new
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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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of developmental biology using mass spectrometry imaging (MALDI-MSI). The candidate will focus on applying the insights of spatial molecular imaging using MALDI-MSI to define the molecular basis for development in
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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large