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The Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab) is seeking a Postdoctoral Researcher – Scientific Machine Learning & Computational
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qualitative and/or quantitative data from a variety of sources, and contribute original ideas for new research projects. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics
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Position Description Applications are invited for a postdoctoral position in the group of Marius de Leeuw at the School of Mathematics, Trinity College Dublin which is expected to open in the Fall
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, Physics, Mathematics, Psychiatry, Psychology or Neuroscience. Note that this list is not exhaustive- candidates from other relevant backgrounds are welcome to apply); Experience working with brain MRI data
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fungal networks. The project is funded by a joint NIH/NSF program at the interface of mathematical and biological sciences. Job description: Lead the design, conduct, and analysis of laboratory experiments
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involving Potsdam Institute for Climate Impact Research (PIK, Germany) and University of Zurich (UZH, Switzerland). Topics of research will include the mathematical modeling and simulation of the development
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be able to consider these as part of your application. The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine. The University actively
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. - Applied Mathematics and Statistics: Knowledge of statistical methods and algorithms for data analysis, including model fitting, regression, and sensitivity analysis. Expertise - Scientific Collaboration
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The QD group is looking for a highly motivated Postdoctoral Researcher to work on advances in controlling the emission properties of organic light-emitting diodes using nanoparticles embedded within the device. The work combines advanced nanofabrication methods, such as electron-beam...
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supervised by Professor Timothy Verstynen (Carnegie Mellon University, Department of Psychology) and Professor Jonathan Rubin (University of Pittsburgh, Department of Mathematics), providing a unique