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candidate will work closely with a team of engineers and biologists to design, clone, and test synthetic circuits in primary human T cells, and help translate these circuits into functional cellular therapies
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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also a central institution in Switzerland for the theory and practice of digital humanities and offers a master's degree and a doctorate in digital humanities. It has collaborative ties with several
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into practical solutions in close collaboration with our interdisciplinary team and external academic and industry partners. Responsibilities also include supporting master's and PhD students, publishing in peer
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning
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, Switzerland) is offering a 3-year postdoctoral position. Main duties and responsibilities This position is part of the Swiss National Science Foundation "Shuffle algebra techniques in representation theory
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. Applicants should hold a doctoral degree, or are expected to hold one within a year. The application should include a CV, research statement, publication list, and at least 2 letters of recommendation
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(Principal Investigator, PI). The project is funded by the Swiss National Science Foundation (SNSF). Project start is on September 1, 2025 or by mutual agreement. The Consolidator Grant project examines
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Your profile We are looking for talented candidates with a doctoral degree and a background in microbial ecology, forest biology or something similar. Candidates are expected to have experience in
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immediately and will remain open until filled. The level of this appointment is ideal for candidates who recently completed their PhD (or is expecting to soon). Interested candidates can apply by submitting a