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developing biotechnological solutions to address challenges in renewable energy, sustainable manufacturing, and human health. Our group specializes in dynamical and spatial control of engineered metabolisms
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datasets. Your focus will be on implementing and training generative models to decompose cylindrical projections. You will solve and refine the structures from the resulting decomposed data. You will map
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researcher position with an anticipated duration of 16 months, to work under the direction of Dr. Melissa Lucash. In our lab, we use a variety of tools (e.g. big data, spatially explicit simulation modeling
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Köhler Lab, Max Perutz Labs, Vienna BioCenter Rethinking cellular boundaries Cellular boundaries are not passive—they are interfaces that convert spatial separation into function. Membranes, nuclear
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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk
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for improving the environmental impacts of wood production over broad spatial scales. Required Skills and Qualifications: PhD in a forestry- or conservation-related discipline. Strong background in field survey
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lead experimental efforts using advanced nanoscale optical and scanning probe techniques—including spatially and temporally resolved photoluminescence, electroluminescence, and a strong focus on
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to 1) compile a global database of existing information about physiological responses of cattle and other livestock to humid heat and 2) to use these data, coupled with spatially explicit forecasts
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for FLASH-RT: strategies to obtain the shortest delivery time on healthy tissues and high dose-rate coverage of large volumes need to be evaluated for the current machine settings, high spatial and temporal
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cultured human and rodent cardiomyocytes, engineered heart tissues, and animal models of heart development and disease. Specifically, you will engage in basic science and applied research to explore