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Job no:523342 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences A highly technical postdoctoral engineering role focused on rock mechanics, modelling, and AI
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have a PhD in wireless communication, electrical engineering, antenna and electromagnetic engineering, telecommunications engineering, microwave engineering, or a closely related field, and you bring a
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. This position resides in the Manufacturing Systems Analytics group in the Digital and Secure Manufacturing Section, Manufacturing Science Division, Energy Science and Technology Directorate (ESTD) at Oak Ridge
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contain the following documents in English or Swedish: PhD certificate A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current
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Engineering, Physics, or a closely related discipline, within less than 5 years post receiving their PhD. The candidate should have a strong research background in at least one of the following areas: solid
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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace engineering
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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refereed journals, the fellow will develop lay materials to transfer key findings to farmers and agribusiness. Qualifications Minimum Qualification: PhD, by time of appointment. Candidates need to have a PhD
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will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in physics, engineering or Earth
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hold (before start-date of the position) a PhD degree in computer science (or a closely related field) Proficiency in English is required. Research-wise, strong expertise in combinatorial optimization