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independence in a highly collaborative environment that values mentorship, innovation, and professional growth. Be Bold. Join a research program focused on understanding how tumors evolve during and after
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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://news.vt.edu/articles/2023/10/eng-futuregaward.html Required Qualifications ● Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field. ● PhD must be awarded
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Carilion (VTC). About the Lab: The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate the neural basis of flexible cognition. From
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Yale School of Medicine - Department of Genetics | New Haven, Connecticut | United States | about 2 months ago
. The position is supported by NIH funding and sits within a rich collaborative network at Yale, including the Yale Cancer Center, the Yale Stem Cell Center, the Wu Tsai Institute, and computational collaborators
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scientific publications. The work will be conducted within the UK Quantum Technology Hub in Integrated Quantum Networks (IQN) under the supervision of Prof Alessandro Fedrizzi. For more information, please
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analysis software (for example NVivo, ATLAS.ti or MAXQDA) or computational text analysis methods. Existing networks among policy practitioners in Washington DC and/or Brussels. Experience of writing
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/PhD in Geosciences, Environmental sciences, remote sensing or computational sciences or image vision and related fields Language skills: Excellent English skills, German is beneficial Desirable skills
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researchers of any nationality interested in apply for postdoctoral fellowships in the Australia-Spain Network for Innovation and Research Excellence (AuSpire) is a postdoctoral training program offering
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looking for inquisitive, creative, and passionate researchers with a PhD, MD, or MD/PhD (or related field such as genetics, genomics, computational biology, biochemistry, machine learning, population