86 algorithm-development-"Multiple"-"Prof"-"Prof" positions at Aarhus University in Denmark
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fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus of the position
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the development of scalable AI prototypes while forging new algorithmic paths in generative AI for the natural sciences, empowering researchers to tackle complex, data-intensive challenges in uncharted territory
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developed and implemented in Calculus courses for science students, involving over 700 students and 30 teaching assistants per semester. The project is led by the Deputy Head at the Department of Mathematics
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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communication capabilities for real-time monitoring of critical infrastructure. A key application area will be smart grid powerline monitoring, where you will work on: Designing and leading the development of low
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feedback and translate it into concrete recommendations and improvements. Collect data from CORC event participants and speakers Develop the CORC event experience Capable of handling multiple priorities and
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contributes to methodological development, adoption of new techniques, and educational activities within PACE. You will not be responsible for individual research projects but work in close collaboration with
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assessments and modelling of food web dynamics and disease screening. This position provides a unique opportunity to contribute to our understanding of how multiple stressors including climate change
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the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and about the faculty here . About the
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funding affect the subsequent performance of firms and scientists, in terms of outputs such as the number of papers, products, patents, etc. (Can an optimal applicant template be developed by training