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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning
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calculations, such as two-phase coexistence simulations, thermodynamic integration, or the Z-method. ● Research experience with geological materials at high pressure and high temperature. ● Experience
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methods (e.g., variational autoencoders) applied to biomolecular dynamics data. ● Familiarity with elastic network modeling (ANM/GNM) or the ProDy software package. ● A track record of independent
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be shown. Preferred Qualifications: ● Experience analyzing genomic and/or metagenomic data using computational methods. ● Experience developing new approaches for the analysis of biological
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experiments, seeing projects through to completion). ● Hands-on experience with immunofluorescence, microscopy, bacterial culture, histology, or sequencing-based methods. ● Experience with animal
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geochemistry methods development are strongly preferred ● Interest or experience working with the mammalian fossil record of eastern Africa or western North America using multi-proxy methods are a plus
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geochemistry methods development are strongly preferred ● Interest or experience working with the mammalian fossil record of eastern Africa or western North America using multi-proxy methods are a plus
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Alzheimer's disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel data analysis methods
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data analysis methods, writing up results for publication in peer-reviewed journals, developing human clinical research protocols, and preparing applications for IRB, RDRC, or IND. The successful
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data analysis methods, writing up results for publication in peer-reviewed journals, developing human clinical research protocols, and preparing applications for IRB, RDRC, or IND. The successful