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education. Good knowledge of spoken and written English, and proven scientific experience is required. Documented knowledge and experience in machine learning, dynamical system theory, geometry, optimization
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will consist in the porting and optimization of parallel and heterogeneous programming models for the upcoming multiprocessor systems developed in the DARE project . The focus of DARE are long vector
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different molecular and semiconductor materials. The project also includes optimizing and carrying on time-resolved photoemission electron microscopy (TR-PEEM) experiments on semiconductor and molecular
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, building, and optimizing this pilot system, contributing to a breakthrough in the scalable production of high-performance photocatalytic materials. Work assignments Your primary responsibility is to develop
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academia and the aquaculture industry and contribute to large-scale lab and on-field fish experimental trials. Optimization and development of molecular tools for salmonids and shrimps (e.g. cell culture
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the project partners. The Postdoctoral position is dedicated to studies in renewable energy communities such as optimal energy scheduling and energy markets, energy storage and flexible demand, flexibility
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superior plant lines in terms of biomass and resilience to stress. In order to do so, we will use an optimized gene regulation circuit from the model plant Arabidopsis and transfer it to barley and wheat
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of AI and edge computing, particularly in network optimization, distributed decision-making, and large-scale foundation models. We seek candidates interested in theoretical analysis and optimization
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the publication record is required, as are good communication skills in spoken and written English. A demonstrated ability to develop and optimize molecular methods for spatial or single cell genome scale analyses
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span over the physical, media access control, and network layers. Methods from networking, communication theory, machine learning, signal processing, and optimization will likely play an important role