10 electric-machine-design-"https:"-"https:"-"https:"-"https:" PhD positions at University of Basel
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) team. Working at the intersection of research and practice, the successful candidate will collaborate with the team to design experiments and pilot anti-corruption interventions in the field. They will
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machine learning approaches for signal classification • Collaborate within an interdisciplinary team of physicists, chemists, molecular life scientists. • Present your findings at conferences and in
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machine intelligence, core areas of computer science that are increasingly unified by the central role of data. The new professor will contribute to the department's vision of Trustworthy and
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Lebensverläufe nach schwierigen Erlebnissen in Kindheit und Jugend» an. Interessierte Personen bitten wir, sich zur Vorbereitung mit diesem Projekt vertraut zu machen: https://www.nfp76.ch/de/ZYwwIq4IOWL9kQwd
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behavior change. In field experiments, these principles will then be applied to design interventions for the promotion of pro-environmental behavior in selected domains (e.g., food choice, transportation
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) that systematically integrates social, institutional, and regulatory considerations into the design and implementation of AI-based energy-sharing tools. The PhD will further investigate the
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: generate and characterize sub-micron size Bessel beams perform nano-machining trials of glass samples with a femtosecond pulsed laser and optimize laser parameters for the optimal mirror template design
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chemistry, this project will optimize nanomaterial design for circulation, targeting, and therapeutic performance in neuroblastoma organoids, enabling preclinical evaluation in physiologically relevant 3D
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digital workflow integration Virtual surgical planning and computer-assisted surgery Design and application of surgical guides Patient-specific implants and point-of-care 3D printing In-house
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perturbation and lineage-tracing data, and multi-modal readouts to constrain these models toward biological mechanisms. ● Intervention design and continual learning . Beyond predicting perturbation