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allocations, and this doctoral fellowship is expected to have a strong experimental component. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294517/phd-research-fellow-in
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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PhD studentship in Computer Science: From Formal Requirements to Specification-based Automated Testing for Safety-Critical Medical Device Software Certification Award Summary 100% fees covered, and
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, modelling, software development, and data analysis. This PhD project will focus on addressing the short baseline anomalies through measurements of key parameters which govern sterile neutrino oscillations and
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software development. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation
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opportunities for scientific leadership and industry engagement. Eligibility criteria Applicants hold a PhD in Computer Science, Software Engineering, Cybersecurity or a related field, have a strong background in
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Engineering, Computer Science, or a related field. Preferred: M.S. or PhD in these fields or equivalent industry experience. Software R&D activities, including software development and implementation, prototype
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interface with cyber and physical aspects of power systems such as the software-defined networking (SDN) in the microgrid control. Supervised by Prof. Xin Zhang (cyber-physical power systems) , the PhD
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Bajcsy, PhD Information Technology Laboratory (ITL) National Institute of Standards and Technologies (NIST) Phone: 301-975-2958 Email: peter.bajcsy@nist.gov URL: https://www.nist.gov/people/peter-bajcsy
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transport planning and software engineering for policy makers and communities. As a PhD fellow, you will: Lead the development of advanced spatial analytics tools and toolkits combining GIS, Python, R, GeoAI