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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
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Job Description Are you a skillful and ambitious PhD graduate interested in kicking off your academic career in a renowned research group leading in the field of thermodynamics with a strong
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fields of journalism studies or political communication, but we invite candidates with a PhD degree from a broad range of fields, such as communication, political science, computer science, media studies
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(2023)). Work at these facilities will be combined with research in our state of the art femtosecond laser labs. Your profile Applicants should hold a PhD in Physics or Chemistry or related field
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facilities, including advanced MRI scanners, laboratories, and animal facilities. The department employs around 670 academic staff, 500 PhD students, and 160 technical/administrative staff. You can read more
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Collaboration with computational protein design partners and clinical reproductive biology collaborators Supervision of MSc and BSc students and contribution to publications You must have: A PhD degree in
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holding a PhD in chemistry, materials science, engineering, or a related discipline, with a proven track record of high-quality, independent research. Responsibilities: Design and carry out organic and
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
establishing best-practice workflows with other scientists in the team publishing and presenting results at international meetings Your profile: We seek candidates with: a relevant PhD degree in experimental
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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to operate in harsh environments, for space applications. This project leverages state-of-the-art neuromorphic sensing and brain-inspired computing to enable a new generation of intelligent vision systems