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and in a team Desirable: Experience with optics, cryogenics, or scanning probe techniques Knowledge of nanofabrication or cleanroom methods Programming skills for data acquisition and analysis A fully
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reasoning domains. This work will blend cutting-edge experimentation - spanning RL, few-shot learning, meta-learning, etc. - with formal analysis to push the boundaries of what modern AI systems can reliably
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, Quaternary Science, Palaeoecology, or a related field. Experience in palaeolimnology, palaeoecology, limnology, microfossil analysis and/or sediment work would be an advantage. Candidates should hold a valid
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evening events and social activity for the interview week. Coordinating interview schedules and hiring procedures You are an open-minded, outgoing, and resilient individual who enjoys connecting with people
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that these new technologies have and assess the extent to which they will affect financial markets, industry, and society. Start date: October 2025 or by agreement
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follow-up funding or for project employment to the appropriate institutions within six months, in order to then seamlessly continue the dissertation within the framework of third-party funding. The start
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community of PhD students here is well supported and socially welcoming. Application / Contact Interested applicants should contact the project leader, Jan Niess, by email at Janhendrik.niess@usb.ch , using