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(Required) PhD in Information Theory, Mathematics or related fields Strong research skills and a solid track record of publications Excellent written and verbal communication skills in English. Knowledge
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co-mentors from WPI nodes (MIT, U Colorado, Cambridge U, and other institutions of our international PIs and co-PIs) Graduate training modeled based on best practices of PhD programs in the USA and UK
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or Postdoctoral Researchers who mathematically study collective social behaviors, leveraging approaches such as evolutionary game theory, network science, and agent-based simulations. We are interested in a wide
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gravitational waves, by pioneering the weak coupling frontier through the use of cutting-edge quantum sensors and devices. QUP operates under a distinctive organizational model in which researchers from a broad
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modelling across different depths of human evolutionary history, building on methods published in Speidel et al, Nature 2025 and application to new large-scale modern and ancient genetic data. - Developing
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Tenure-Track Assistant Professor at the Graduate School of Pharmaceutical Studies, Tohoku University
research approaches, including but not limited to those that leverage emerging technologies—such as AI-based analysis, computational science, and iPS cell-based drug discovery models—to identify novel drug
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research project, etc. *The applicant will be assigned to an appropriate position based on his/her ability, aptitude, etc. Job description Specifics of the job description and work location will depend
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operates under a distinctive organizational model in which researchers from a broad range of institutions, including KEK, converge at QUP to pursue common scientific objectives. QUP's principal research
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“Construction of Random Network Representations of Quantum Spacetime and Gravitational Learning Models (in Japanese only)"at the iTHEMS Division of Fundamental Mathematical Science. We welcome applications from
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engaged in: Unraveling the complex gene-brain-behavior nexus, Investigating brain endophenotypes using mouse models to advance our understanding of neuropsychiatric disorders. Leveraging cutting-edge