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of extension for three years. Tiwari lab employs cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation. In this project
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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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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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model with a farm model Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Coordinate and contribute to dissemination
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project focused on deciphering the genetic and epigenetic basis of aging and its misregulation in diseases such as fibrosis. You will employ technologies including: Single-cell RNA-seq, and spatial
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model with a farm model Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Coordinate and contribute to dissemination
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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inversion of FEM and TEM data of variable spatial density and sensitivity. The work will build on a recently developed EM forward operator, with the opportunity to design and implement the inversion engine
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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data integration. A central focus will be the representation of the biological carbon pump and its influence on ocean-atmosphere carbon exchange across temporal and spatial scales. Key tasks include