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to recreate human intestinal inflammation, establishing a novel pharmacological platform for preclinical drug evaluation. Evaluate disease trajectory and predictive potential through comparative spatial
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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, and advanced data analysis. This role is part of a large-scale, multi-institutional consortium study aimed at uncovering novel insights into the genetic and molecular underpinnings of neurodevelopmental
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cytometry Prior experience in advanced sequencing technologies (bulk and single-cell RNA-seq, spatial transcriptomics) and omics analysis Downloading a copy of our Job Description Full details of the role and
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with or managing research activities, and preparing reports. Strong skills in statistical analysis and handling large spatial and temporal datasets. Good communication skills for collaboration within
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discovery, scientific programming and genetic analysis. We encourage applications also from candidates with little background in biology or medicine, and a keen interest to learn. Recent publications: Clarke
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, analyze high-dimensional datasets (e.g., flow cytometry, RNA-seq, spatial transcriptomics), prepare manuscripts for publication, and contribute to grant writing and mentorship of junior lab members. Job
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have expertise in geometallurgy, applied geochemistry, and geo-environmental assessment, with advanced proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
physics, star formation and stellar feedback on small (<100pc) spatial scales in nearby galaxies in the “Extragalactic Star Formation” group led by Dr. Eva Schinnerer. The offered positions are funded by a
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, from September 2025 a Postdoctoral Researcher – Longitudinal Proteomic Analysis (Wet Lab & Data Science) Reference number: 2025-0174 The Division of Medical Physics in Radiation Oncology develops new