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Field
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will work on multiple projects funded by NIH/NHGRI. The objective of the position is to develop novel statistical methods and computer software and analyze large scale biological data from biobanks
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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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process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made
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, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and Postdocs within
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, prepare and test the prototype cooling device for this project. About You The post is suited to a PhD graduate with a background in thermofluids engineering or a related discipline. If you are both a
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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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, prepare and test the prototype cooling device for this project. About You The post is suited to a PhD graduate with a background in thermofluids engineering or a related discipline. If you are both a
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imaging pipelines, 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
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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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). The project is funded by the European Research Council (ERC) and led by Associate Professor Wiebke Marie Junk (PI). The selected candidate will be a part of the project team consisting of the PI, a PhD, a