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cell populations using spatial transcriptomics. Mechanisms by which bacteria modulate the tumor microenvironment will be studied using orthotopic mouse models, with a focus on myeloid cell populations
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satisfactory performance. Expected salary is $70,000/year plus benefits. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology and modeling
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studies using primary human and mouse islets and pancreas tissue, cell-culture based systems, genetic mouse models, and disease models, with molecular biology, single-cell, spatial, imaging, and epigenomic
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metabolomics, specifically tissue and single-cell-based spatial metabolomics using advanced mass spectrometry techniques. This is a unique opportunity to contribute to an ambitious, multifaceted research
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of simulation-ready models. Experience with FEM/FDTD spatial discretization, geometry or voxel-model preparation, material-property assignment, and mesh/grid-quality assessment. Experience with Sim4Life, COMSOL
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Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in non-human primate immunology and virology or analysis of spatial omics data to join an interdisciplinary team
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students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration
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Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine | New Haven, Connecticut | United States | about 2 months ago
& Denise Adams Center for Parkinson’s Disease Research and Scherzer Neurogenomics Lab combine population-scale human data (>30,000 deeply phenotyped participants), single-cell and spatial omics, and next
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including sc/snRNA and spatial transcriptomics, patient-derived models, systems biology and AI platforms Opportunity to obtain a PhD within the U Strasbourg MD-PhD program Tenure track program at Inserm and U
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modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will