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: Co-singing gesture and vocal performance across three musical traditions, funded by the Research Council of Norway. The project is affiliated with RITMO Centre for Interdisciplinary Studies in Rhythm
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for 3 years. The project is conducted in close collaboration with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation
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interactions is available in connection with the research project, SongGesture: Co-singing gesture and vocal performance across three musical traditions, funded by the Research Council of Norway. The project is
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computational work package and develop the pipeline that operationalizes the theory and supports perceptual studies. This includes: contributing to method development on rhythm modeling; performing source
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molecular and imaging data. Work closely with other members of GENESIS performing biological experiments, quantitative imaging and biophysical modeling to develop a unified multiscale framework connecting
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, including RNA-seq, ChIP-seq, CUT&RUN, and related approaches Performing functional perturbation experiments and integrating multi-omics datasets Collaborating closely with experimental and computational
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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processing research in Norway. Main tasks The main purpose of this post-doctoral position is to qualify for work in high-level scientific positions. A Ph.D. degree is required. Perform research in food
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of GENESIS performing biological experiments, quantitative imaging and biophysical modeling to develop a unified multiscale framework connecting gene regulation, tissue mechanics and morphogenesis
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be able to independently design, perform, and analyze HDX‑MS proteomics experiments. In addition, experience with protein expression in bacteria, yeast, and insect cells, as well as with