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PhD in Neuroscience, Psychology, or related fields, and an interest in the neural mechanisms underlying motivated behavioral decision-making. A quantitative background, experience in imaging
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Your Job: Combine multimodal brain imaging with advanced image-processing, data science, and AI techniques to perform image alignment, segmentation, and classification to construct and validate
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, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
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setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
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prototype, assessment of the long-term stability of the fluid, and translating these findings into recommendations for the system design. Who are we looking for? The Wright Research Group is seeking a
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microbiological testing at interfaces within the compounding device prototype, assessment of the long-term stability of the fluid, and translating these findings into recommendations for the system design. Who
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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collaborative mindset and bring the following qualifications: - a PhD degree in mathematics, with a focus on algebraic geometry; - experience with at least some of the following: Fourier—Mukai transforms
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored