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to the development of human geography at the department. The position requires participation in the Faculty of Social Sciences' organised research education programme (PhD programme) and the completion of a doctorate
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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for this job See advertisement About the position Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and Private Sectors (INSEPP ), invites candidates to apply
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Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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Completion or near completion of a PhD in the field of polymer chemistry/physics/engineering. Experience in polymer physical chemistry or engineering including biopolymers. Expertise in polymer
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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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an approach rooted in physical science and the emerging field of digital molecular analytics. Key Responsibilities: Lead and execute research on hybrid photonic materials including rare-earth-doped systems
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employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting
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. Required Qualifications* PhD in computer science, computational biology, or related quantitative field. Strong oral and written communication skills. Desired Qualifications* Computational biology experience