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strategic research development, programme-level integration, synthesis, dissemination, and collaboration activities. This role offers an exciting opportunity to contribute to centre-wide research outputs
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advertisement About the position A Post-doctoral Research Fellowship in Creative Human-AI Interaction is available at the Faculty of Computer Science, Engineering and Economics at Østfold University College (ØUC
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 4 hours ago
components for each ORISE fellow (computational, complex in vitro modeling - CiVM and bioanalytical). Computational: The participant will assist in the development of quantitative systems pharmacology models
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will publish relevant results to cryptography conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with
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positions available Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project
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position focused on wildlife health and avian research. This position is ideal for early career veterinarians planning on a future career in free-ranging wildlife health. The program will provide a dynamic
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discussion about the position, please contact Dr Yoshishige Tsuchiya (yt2@ecs.soton.ac.uk ). Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We
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and open up international prospects for their future career. The programme offers a two-year research position at one of the three universities, preferred by the applicant, and local disciplinary
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• Opportunities to build a competitive academic portfolio Minimum Qualifications: • MD, DO, or equivalent medical degree (or currently enrolled in an accredited residency/fellowship program), or advanced
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mentor, the participant will: Acquire or improve their ability to predict important plant-microbe associations based on computational data and supplemental bioassays; Learn to conduct research using