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the data. Job description This PhD project focuses on developing learning-based strategies for accelerated data acquisition, physics-informed image reconstruction, and quantitative inference
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industrial processes, create greener products and minimise the accelerating consumption of society. This fully funded 3-year full-time studentship is available only to UK nationals. The successful applicant
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to predict which molecules to synthesise next, to maximise the binding affinity of the molecules to a target protein. This research aims to greatly accelerate bioactive molecule discovery and significantly
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;dtu.dk You can read more about BRIGHT at https://novonordiskfonden.dk/en/projects/bright/ and you can read more about the hiring department at https://www.biosustain.dtu.dk/ If you are applying from
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 18 days ago
believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. The Institute
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acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware-aware machine learning models incorporating electronic and optical
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | 18 days ago
. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. We invite applications for a fully funded PhD candidate (f/m/x) position
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the Department of Materials Science and Engineering (MSE), Faculty of Engineering, Monash University. This PhD project will contribute to MSE’s strategic research initiative on accelerating Australian green
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focus on the enhancement of long-term socio-economic developments of cities, how to cope with social inequalities, and how to accelerate sustainability transitions of cities and infrastructures. Research
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the development of scalable software tools and pipelines, potentially leveraging GPU/FPGA accelerators. Our aim is to build next-generation molecular atlases for chronic diseases and to improve patient