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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background in communication theory, signal processing
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standardization efforts relevant to optical wireless technologies in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering
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are particularly encouraged to apply. PhD, ScD, or DrPH in epidemiology or a related field in public health. The successful candidate will have a) methodological training in epidemiologic methods and biostatistics
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 2 hours ago
-the-Standard-Model searches using radioisotopes implanted in superconducting cryogenic sensors Development of ASIC electronics for sensor readout in cryogenic environments Nuclear structure measurements of 0𝜈ββ
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PhD or Masters in a critical social science discipline. Mōu | Who You Are To be successful in this position you will ideally have the following: A PhD in a relevant social science or humanities
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Sciences (HSPS) and also has a vibrant MPhil and PhD programme. There are currently about 80 students working on PhDs on a diverse range of topics in sociology. Further information about research interests
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Sciences (HSPS) and also has a vibrant MPhil and PhD programme. There are currently about 80 students working on PhDs on a diverse range of topics in sociology. Further information about research interests
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publications and contribution to collaborative proposals. Support of graduate student mentorship and lab coordination. Required Qualifications & Experience PhD in Materials Chemistry, Extractive Metallurgy
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep