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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
temporal, spatial, and stylistic constraints, as well as enabling intuitive and high-fidelity post-generation editing of the video content. The research will aim to produce models that are not only
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logical choice for its staff and students. YOUR TASKS At least 70% of your assignment will be spent on academic research. You work closely with the team involved in the ERC project DAEDALOS (https
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candidates able to conceptualize and statistically or mathematically link processes occurring at different spatial or temporal scales, or across levels of ecological organization (e.g., upscaling of microbial
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are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and interactions across multiple spatial and temporal scales. Developing mathematical
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alignment to enable a circular carbon economy. The postdoctoral researcher will primarily conduct research on the workstream on circular carbon feedstocks & end-of-life recovery, developing spatially explicit
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for atmospheric, oceanic, and coastal processes. Complex environmental systems are characterized by multiple interacting physical processes across a wide range of spatial and temporal scales. The successful
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University Medical Center Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq, RNA seq, single cell sequencing, spatial transcriptomics
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial