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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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/network governance will be considered; Only applicants who hold a PhD, or who have submitted their thesis and are awaiting defence, will be considered. The 1st of October as a start is non-negotiable
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that enhance the reliability, efficiency, and resilience of electric power distribution networks. Required Minimum Qualifications : PhD in Electrical Engineering Preferred Qualifications: Demonstrated research
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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 in
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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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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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students and fellow postdoctoral researchers within the laboratory and across EPFL’s international research network. Profile PhD degree in environmental engineering, microbiology, chemical engineering, or a
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are looking for candidates to have the following skills and experience: Essential criteria 1. PhD qualified in a relevant subject area, such as theoretical physics, computational physics, quantum information
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to PhD level in an area related to Computer Science, the applicant will be proficient in software development, systems administration, networking and cloud. This is an invaluable opportunity to develop
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Finnish partners. Who we are looking for The following requirements are mandatory: A doctoral degree in Electrical Engineering, Computer Science, Communication Networks, or a related field, or an equivalent