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Field
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experiments, including occasional wet lab work Merging experimental results, simulations, and literature for optimal conditions inducing movement differences, in collaboration with the team. Participation in
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Your Job: This work will be performed as part of an agile team unified by a common goal: An Industry partner from semen production provides fresh sperm cells and pre-analysis. A second industry
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single-cell transcriptomics to identify and optimize highly innovative antiviral vaccine concepts in collaboration with leading international laboratories. This research center is part of the Helmholtz
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international training environment. PhD students will work with leading scientists in the field and benefit from their complementary expertise in theory and experiments involving the various messengers
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the development of meta-optimization techniques that can automatically search for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital
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perform a risk analysis of the resulting model outputs Present your scientific results at conferences, workshops, and seminars, and publish the work in peer‑reviewed journals Collaborate with project
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, and theory groups to optimize water electrolysis using the knowledge obtained in the project The following publications are related to the work to be performed within this project: doi.org/10.1039
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) Network with globally leading academic and industrial partners Optimal conditions for balancing work and private life, and a family-conscious corporate policy Possibility of time- and location-flexible
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manufactured at Uppsala University) will be the focus of this PhD project. The objectives of this work are to optimize an experimental setup for simultaneous tension/compression testing and localized corrosion
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training