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active in the field of hot and dense QCD matter in and out of equilibrium. Areas of interest include both soft and penetrating probes of heavy-ion collisions, relativistic viscous fluid dynamics, finite
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. Primary processing of single cell and spatial transcriptomics data, and more project-focused in-depth analysis. Integrate existing single cell and spatial transcriptomics datasets, use publicly available
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Position Summary: Proposed project title: “Targeted & Non-targeted analysis of PFAS in food packaging“. Develop and apply liquid chromatography (LC) methods coupled with high-resolution mass spectrometry
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analysis of multimodal datasets linking MRI features with transcriptomic and spatial maps of human glioblastoma. While primarily computational, this position also involves supporting wet-lab validation using
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, such as a familiarity with data analysis software (e.g., Python, IDL, MATLAB, FORTRAN) Prototype algorithms, validate outputs, and document methods clearly Qualified and interested applications are invited
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Qualifications: Expertise in C. elegans husbandry, genetics and experimental manipulation - Expertise in florescence microscopy, particularly confocal and live-cell imaging - Expertise in image analysis, including
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MRI (fMRI) analysis and Dynamic Causal Modeling (DCM). CEYMH is dedicated to advancing youth mental health through a combination of innovative research, clinical service delivery, and training of future
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA