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will strongly benefit from a multidisciplinary environment with other postdocs and PhD students working in quantum technologies at ICFO and other centres in the Barcelona area, and with strong
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meets the following requirements: Your experience and profile: PhD in mathematics, with thesis submitted before the start of the Postdoctoral position. Publications in some subareas of analysis
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assigned QUALIFICATIONS PhD in Mathematics or Applied Mathematics or related field Two (2) years’ experience on Mathematical modeling and computational programming Experiences with mathematical models
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and publications. Required Qualifications - PhD in Mathematics or a related field with a background in statistical and mathematical modeling. - Research in mathematical applications to biological
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
Qualifications: A PhD in Mathematics Education or an equivalent field is required. Candidates expecting to graduate this summer 2025 will also be considered. Experience conducting qualitative data-analyses and/or
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for analysis and dynamic configuration. Publish results in high-impact venues. Collaborate with academic and industrial partners in Shift2SDV. Co-supervise MSc and PhD students. Optionally contribute to teaching
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biology, genetics and basic human biology, including chemistry, biochemistry, physiology, as well as anatomy. Key criteria for the assessment of applicants Applicants should hold a PhD degree in cell
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robots. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions
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advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity