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Associate or Senior Editor (Materials science and inorganic materials chemistry), Nature Communicati
-driven approaches and machine learning tools for materials discovery and analysis. The Associate/Senior Editor role at Nature Communications is ideal for researchers who love science but feel that a
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of backgrounds and perspectives. For more information, please visit the WTI website: https://wti.yale.edu . Qualifications Applicants must have a PhD (or equivalent) at time of hire. Current Yale
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. Bioinformatics analysis of data will include use of population genomics techniques, phylogenetics and machine-learning development. The successful candidate will be expected to write up results as manuscripts
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modelling, data analysis, and optimisation. Experience with machine learning or surrogate modelling techniques applied to offshore engineering problems. Experience in collaboration with the offshore wind and
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from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria A PhD in a relevant social science discipline, or equivalent research experience gained in
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to 20% of other services, e.g., teaching at the undergraduate and graduate levels. Where to apply Website https://www.bth.se/english/vacancies/job/phd-student-position-in-requirements-e… Requirements
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, ensuring that the research outcomes reach the broader scientific community. ESSENTIAL REQUIREMENTS A PhD in Electronic Engineering, Computer Engineering, Computer Science, Physics, or related disciplines
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, C++ or similar languages. Good knowledge of network communication and integration between different systems, such as robots, AI and digital twins. Good knowledge and experience of machine learning
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Basketball Coach in the University Recreation. How to Apply: Interested candidates may apply online at https://jobs.coastal.edu/postings/122099 . Applicants must submit a resume, cover letter and contact
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researchers Background in sensing technologies, computer vision, or perception Foundational knowledge of machine learning and data-driven methods Experience with robotic fabrication, custom tools, or end