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. We are taking part to a Marie Skłodowska-Curie Doctoral Network project “Advancing Energy Conversion Technologies: High-Frequency Magnetics in Modern Power Electronics” (MAGNIFY). The project is a
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or non-parametric functional distribution for species responses to environmental drivers as well as latent factors to describe spatially and temporally structured stochastic processes. JSDMs are routinely
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microscopy, structural biology, cryo-electron microscopy. Interest in learning quantitative image analysis methods and/or structural biology methods. Team-oriented and proactive mindset. Excellent oral and
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large proteomics dataset, so we are working with several novel host cell targets. The work could include detailed virological, cell biological, or biochemical/structural characterization of the selected
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detailed virological, cell biological, or biochemical/structural characterization of the selected protein(s). We are supported by top-level local core facilities in proteomics, as well as light and electron
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University of Eastern Finland Position ID: 3582-PHD [#26562] Position Title: Position Type: Other Position Location: Joensuu, North Karelia 80101, Finland [map ] Subject Areas: Operator theory
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is to apply theories, models, and methods from psychology to improve Human-AI interaction. Your network and team The Aalto Engineering Psychology Group concentrates on research in human-AI interaction
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structure and their possible extended formation from the low solar corona to inter-planetary space. Most existing global MHD models are largely limited by their lower boundary at 0.1 astronomical unit and
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in test reactions relevant to the sustainable use of natural resources. The group aims for fundamental understanding of structure-activity relationships and strives towards more openness in science
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-engineering-and-automation/nonlinear-systems-and-control ) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees