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Job Description Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU) Are you an experienced scientist with a passion
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for the green energy transition. You will be among meteorologist working on understanding various meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed
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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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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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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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technologies. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics
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. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus
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cementitious materials using different techniques. Multi-scale characterization of the materials using e.g., SEM, RAMAN imaging, TEM, XRD, rheology, and multiscale mechanical testing. Lab-source and synchrotron
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competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all
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recharge and support the replenishment of shallow groundwater systems in dryland environments Your key responsibilities will include: Integrating multi-temporal and multi-spectral satellite data (e.g., SAR