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and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing
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analysis, and spatial -omics. An ability to learn new skills, take initiative, attention to detail, and conceptualize data is essential. More details of the Foltz lab can be found here: https://jfoltzlab.org
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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editing, mouse modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image processing and analysis, amongst a variety of other specific
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. Special priority will be given to candidates that study cellular and molecular processes using high-dimensional biological data such as single-cell or spatial omics, structural data, advanced microscopy
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, reproduction, and development. They use cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal
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in research in Spatial and Landscape Ecology. Workplan and objectives to be achieved: The selected candidate will carry out R&D activities within the scope of the 2Qua project, aiming to consolidate
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proteomics. Experience with spatial data analysis including multiplex IHC and CODEX. Familiarity executing bioinformatics pipelines in local UNIX/Linux environments and cluster execution (LSF). Proficiency in
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and spatial omics integration and latent modeling with scVI for batch correction and label transfer Regulatory genomics and motif analysis using tools from MEME Suite or HOMER. Cloud-native NGS workflow
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with a focus on next generation cancer immunotherapeutics. The candidate will support the lab in using multiparameter flow cytometry, high-throughput RNAseq, spatial transcriptomics, and other cutting