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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description The Centre d’Études Spatiales de la
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international and interdisciplinary project with research partners and stakeholders from five European countries. This position will focus on a spatial analysis of unsealing activities at a European scale and a
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spatial and non-spatial data efficiently. Develop and implement ETL processes to prepare data for publication, analysis, and visualisation, including metadata and data packaging. Collaborate in an agile
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identification, molecular validation, and the development of new diagnostic tools. Working with cell cultures and organoids. Participation in molecular and spatial data analysis in collaboration with analysts
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, or computer science. Two years, or a combined total of 24 months, of applicable work experience in GPS (or otherwise spatially integrated) data collection, data management, data development, and/or data analysis
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LEO Lecturer I in the Earth and Environment Discipline to teach ESCI 485, Spatial Analysis and GIS, in the Winter 2026 semester which begins on January 7, 2026, and ends on April 30, 2026. A course
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including a flexible and pragmatic approach. Desirable: D1. Skills in RNA sequencing analysis, single-cell and spatial transcriptomics D2. Skills with bioinformatic analyses. For Appointments at Grade 7
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: 279354599 Position: Postdoctoral Research Associate Description: The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/ ) at the Andlinger Center for Energy and
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
Responsibilities: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data