397 parallel-computing-numerical-methods uni jobs at University of Sheffield in United Kingdom
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of designing experiments and accurately collecting data with subsequent robust analysis using appropriate statistical methods. Essential Application/interview Ability to update and acquire new skills and
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Siouris Application Deadline: Applications accepted all year round Details Batch and continuous stirred reactors rely on active and passive methods to drive the mixing of two or more components. Some
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation
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Artificial intelligence and machine learning methods for model discovery in the social sciences
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in handling stall onset and recovery. This project will focus on the modelling and control of hysteresis effects, under the framework of numerical optimal control. The aim is to develop advanced
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of male quality. Specific questions and approaches taken can be tailored to the particular interests of the student, but objectives could include: (1) Applying cutting-edge genomic methods to study the
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Remote robotic welding guided by reliable, non-contact, emissivity-independent temperature imaging and machine vision
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Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method
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Kudryavtsev Application Deadline: Applications accepted all year round Details The SBND (Short-Baseline Near Detector) experiment is part of the multi-detector Short Baseline Neutrino (SBN) programme located
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you should have studied qualitative research methods at master’s level, and be familiar with qualitative interviewing and qualitative coding of interview data. References References Harwood, N. (2005