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energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
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positions in High-performance computation and machine learning, Chemical Physics, Physical Chemistry, Nano-science, Biophysics, Statistical Physics and Complex Systems. The positions are normally for one year
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nanotechnology-based approaches to modulate the immune system and create enhanced translational immunotherapy strategies in cancer. To be successful you will need: Completion of PhD (within last 5 years
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(ORNL). As part of our research team led by Dr. Matthew Brahlek and Dr. Rob Moore, you will focus on the growth of thin film and heterostructure quantum materials utilizing molecular beam epitaxy, and
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who thrives in a multidisciplinary environment. You are self-motivated, solution-oriented, and eager to apply your skills to translational oncology research. You also have: A recent PhD in (bio)medical
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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eager to apply your skills to translational oncology research. You also have: A recent PhD in (bio)medical physics or (bio)medical engineering. A strong interest in radiotherapy, CT imaging, dosimetry
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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scales, requires the epitaxial growth of magnetic insulators in thin and/or very thin films. The PhD work thesis will focus on the growth of ultra-thin YIG layers by Liquid Phase Epitaxy in Pb-based and Pb
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant