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theorists. The overview of KMI and members can be found at http://www.kmi.nagoya-u.ac.jp/ ; Requirements: A PhD (or close to completion) in physics or related disciplines, such as astronomy, computer science
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, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in
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-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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the PhD Students: - Decide the experimental design for the validation of the developed models to authenticate pistachios, and collaborate in recruiting new samples - Perform the analytical
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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in applied
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receptor subunits and dopamine receptors in the striatum and substantia nigra by Western blot. Statistical analysis and representation of data using Excel and GraphPad Prism softwares. Preparation of results
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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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Department. Requirements 1. A PhD degree or equivalent qualification, preferably with at least 2 years of relevant postdoctoral research experience; 2. A strong background in Mathematics/Applied
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/quality control procedures for soil fertility and soil health testing. Compile, manage, and analyze multi-site, multi-year datasets; conduct appropriate statistical analyses and contribute to data-driven
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - A PhD in mathematics/statistics/AI applied to ecological issues. - A strong publication record. - Proficiency in R and Python