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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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. The stipend is within the Data Engineering, Science, and Systems (DESS) research group and supervised by Professor Torben Bach Pedersen. Within Digital Energy, DESS has developed the award-winning FlexOffer
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, noncommunicable diseases, multi- and co-morbidity and rehabilitation) that shape our vision for sustainable and healthy and sustainable future. We educate bachelors and masters of science within biomedical
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explore large genomic datasets. Your tasks will include quantitative data analysis, sequence processing and evaluation, and pipeline development and automation. It is expected that you will lead the writing
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of creativity, learning, and aesthetic experience Identity, citizenship, and participation in cultural and social contexts Psychological perspectives on education, recovery, and human development Organizational
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Biological Learning Machine, which is headed by Professor Jan Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and spatial patterns of synergy and
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on Data Representation and Compression, which focuses on developing efficient methods for representing, processing, and reliably transmitting both classical and quantum data under strict timing constraints
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terms of research The proposed PhD project will be situated within the broader framework of PRAXIS, which investigates how creative, experimental and practice-based learning cultures can be developed in
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living, noncommunicable diseases, multi- and co-morbidity and (rehabilitation) that shape our vision for sustainable and healthy and sustainable future. We educate bachelors and masters of science within