505 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions in United Kingdom
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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in Humanities or
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modeling and Al tools to psychological and clinical data. You will teach courses independently within the scope of the provisions of the collective bargaining agreement. You will take on administrative tasks
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for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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concept of remedies has evolved across different dimensions of the employment relationship in a set of different national systems (i.e. France, Greece, Poland, Sweden and the UK). Data collection and
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to model immune-mediated kidney injury. Quantitative and reproducible read-outs from these assays will be correlated with human kidney ‘omics data to evaluate the impact of pathway modulation, ultimately
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interferometric scattering into an even more powerful tool in all areas of life sciences. Applicants for this position must hold a PhD in Chemistry or relevant subject area, (or be close to completion) prior
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Job Purpose To contribute to / make a leading contribution to the EPSRC UK Hub for Quantum Enabled Position Navigation and Timing (QEPNT), part of the UK’s flagship National Quantum Technology
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
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teams at Heriot-Watt University. The position is available for immediate start, however timing can be discussed. For further information or to discuss the role, contact the Principal Investigator, Dr
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms and validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed