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leverage the power of field-programmable gate arrays (FPGA) to deploy machine learning models on the edge with low latency and high energy efficiency. This added intelligence will enable the rapid evaluation
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opportunities to participate in professional and personal development training. Through your work you will gain a unique skill set at the interface between modelling and prototyping of electrode materials
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DTU National Food Institute, at the Technical University of Denmark, is seeking highly motivated applicants for a Strategic Alliance PhD scholarship focused on the designing and modelling of switchable
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degree (120 ECTS points) (or equivalent) in biotechnology, biochemistry, analytical chemistry, bioengineering, molecular biology, or a related field. Strong experimental skills in biochemistry, cell
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materials Development of simulation models for the electromagnetic wave interaction analysis Machine learning design of antennas and metasurfaces for interaction with lossy materials Research into practical
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natural sciences, in particular, bioinformatics, microbial ecology or molecular biology (cloning). We expect you to have experience in designing and conducting laboratory experiments and to have good
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-assisted writing, coding, and modeling altering notions of originality, authorship, and evaluation? Which new human-machine configurations emerge or become contested in STEM education? Transforming STEM
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machine learning techniques to develop local graph representation models, which will be aggregated globally to enhance their predictive power and translational relevance, all while maintaining strict data
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to the evaluation of absolute sustainability of biobased systems, from a biorefinery to a whole biobased society. The main tasks are: Development of a large-scale model of the carbon material flows in a biobased
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scalable optimization models that capture the sparse structure of water networks. The proposed research will develop methodologies and advanced solutions that will help societies improve energy efficiency