39 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" Postdoctoral positions at Nature Careers in Denmark
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of cutting-edge technologies. You will be part of the Power-to-X project E-CH4 Booster, which targets the development and upscaling of bioreactors for conversion of CO2 into green methane. The project is an
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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and embedded cryptography, and quantum programming languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms
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developed in relation to crop nitrogen uptake, soil storage and losses to the environment via hydrological and gaseous pathways. The ideal candidate will have experience of using biogeochemical models
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diseases. In this project, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate
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Postdoc position to support international research and capacity-building projects employing elect...
. Participation in fieldwork campaigns in Ethiopia multiple times per year (typically 2–3 weeks per trip), assisting with survey planning, deployment, and data collection. Contribution to the development
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to specifically the area of soil water retention and transport in the vadose zone and the main focus of your position will be to develop hybrid differentiable models that combine soil physics and soil science
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-disaster environments, and to use these insights to forecast recovery trajectories and design effective restoration strategies. The postdoc will be expected to contribute new conceptual developments to trait
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developing countries, and a potential for a new future crop in Scandinavia. Using sweet potato as a physiological model, the research will identify key metabolic bottlenecks in the plant’s source–sink