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applications for PhD research fellowship position(s) within the field of machine learning, AI Safety, and mechanistic interpretability, to be filled earliest by 1 January 2026 for a period of three years
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At the laboratory of Associate Professor Kumar Somyajit, we seek a highly motivated PhD student with strong background in cell biology and prime interest in cell cycle, genome maintenance, cancer
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scalable methods for understanding the inner workings of large language models and developing functionally-grounded steering and control techniques. The successful candidate will contribute to frontier
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scalable methods for understanding the inner workings of large language models and developing functionally-grounded steering and control techniques. The successful candidate will contribute to frontier
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, the same eligibility criteria apply to the Visiting Fellowship. Typically, this requires that the applicant have a PhD before the MSCA deadline, which they have received less than eight years earlier
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profile Applicants should hold a PhD in molecular and cellular neurobiology or similar. Experience in primary neuron cultures and rodent in vivo models is necessary Experience with super-resolution
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of quantum field theory, mathematical aspects of string theory, general mathematical physics or quantum algorithms and quantum software development. We stress that candidates with an excellent research track
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, number theory, mathematical aspects of quantum field theory, mathematical aspects of string theory, general mathematical physics or quantum algorithms and quantum software development. We stress
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).* Relevant PhD in Humanities, Social Sciences, Natural Sciences, Health Sciences, or Engineering by the call deadline (date of PhD defence/viva) Have a maximum of 8 years full-time equivalent research
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Anatolia and from the Tigris to the Mediterranean with a focus on visual culture. Qualifications Applicants must hold a PhD degree in Classical Archaeology or document equal qualifications and be able