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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 14 hours ago
and pressures. Rock characterization will involve nuclear magnetic resonance (NMR) Scanning, X-ray diffraction (XRD) mineral analysis, porosity measurements, and absolute permeability measurements
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. Demonstrated expertise in bioinformatics, statistics, microbiome data analysis, and/or computational methods. Experience working with large population-level datasets (e.g., NHANES data sets or other large-scale
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, data analysis, and engagement with international partners. This Postdoctoral Scholar position is an initial appointment for one year, renewable upon satisfactory performance and continued funding
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complex endometrial models and optimizing in vitro implantation assays. Culturing human embryos and generating stem cell-based embryo models. Tissue sectioning for advanced spatial transcriptomic analysis
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for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging
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their metabolism through enzyme complexes and their interaction with cellular organelles. We combine mass spectrometry imaging, biochemistry, structural biology, and cell biology to examine metabolism in single
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that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental
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., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics feedback in
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. The successful candidate will engage in innovative research addressing statistical methodology, machine learning, and/or learning techniques in complex biomedical and health-related challenges. We particularly