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Field
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problem-solving skills and the ability to collaborate with cross-functional teams are essential. Responsibilities The main responsibilities of the role are as follows: Develop and optimize algorithms
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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to support the delivery and timely completion of an optimal TEF submission. As a member of the AcS senior team, the Head of Learning and Teaching Transformation will contribute to service-wide strategic
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. The Associate will learn about socio-technical systems and communication from experts at Heriot-Watt University, before leading a project that considers an optimal approach for Scottish EDGE expansion into new
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the invaluable chance to collaborate with LV Prasad Eye Institute (LVPEI) in India by exploring their optimized 3D corneal ex vivo models. Entry Requirements: Candidates must have a first or upper
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, the TME is often hypoxic and nutrient deprived. This drives adaptations in cancer cells, allowing them to thrive in this sub-optimal environment. Our lab has recently demonstrated that breast cancer cells
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conservation and urban planning. 2 Multifunctionality and Adaptability of GI · Exploring the balance between solar energy deployment and urban green infrastructure for climate adaptation. · Optimizing