Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- University of Oxford
- Utrecht University
- ;
- Argonne
- NEW YORK UNIVERSITY ABU DHABI
- Stony Brook University
- UNIVERSITY OF HELSINKI
- Aarhus University
- CNRS
- Durham University
- Harvard University
- KINGS COLLEGE LONDON
- Karolinska Institutet (KI)
- King's College London
- Pennsylvania State University
- Purdue University
- Technical University of Denmark
- Technical University of Munich
- UNIVERSITY OF SYDNEY
- University of Lund
- University of North Carolina at Chapel Hill
- University of Oxford;
- University of Texas at Austin
- University of Washington
- Virginia Tech
- Yale University
- Carnegie Mellon University
- Case Western Reserve University
- Chalmers University of Technology
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Duke University
- East Carolina University
- Florida Gulf Coast University
- Fraunhofer-Gesellschaft
- Heidelberg University
- Institut Pasteur
- Leibniz
- Loyola University
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute of Biochemistry, Martinsried
- Medical College of Wisconsin
- NORCE
- New York University
- Oak Ridge National Laboratory
- Princeton University
- Radboud University Medical Center (Radboudumc)
- Reykjavik University
- THE UNIVERSITY OF HONG KONG
- TTI
- The Ohio State University
- The University of Arizona
- University of Antwerp
- University of California
- University of California Los Angeles
- University of California, Los Angeles
- University of Cambridge
- University of Colorado
- University of Florida
- University of Groningen
- University of Maryland
- University of Miami
- University of Minnesota
- University of Oregon
- University of Saskatchewan
- University of Sydney
- VIB
- Washington University in St. Louis
- 60 more »
- « less
-
Field
-
research and handling sensitive data is preferred. • Strong quantitative skills, including proficiency in regression modeling, environmental mixtures analysis, and spatial methods using R. • Familiarity with
-
projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
-
://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
-
or spatial profiling; Mouse genetics and in vivo experimentation; Lineage tracing, clonal dynamics, or immune repertoire studies Candidates should hold (or be close to completing) a PhD in a relevant field
-
with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
-
3D cell cultures under several perturbations Develop and apply methods for the analysis of the cellular proteome both at cell type, and single-cell level, based on imaging results and recent spatial
-
3D cell cultures under several perturbations Develop and apply methods for the analysis of the cellular proteome both at cell type, and single-cell level, based on imaging results and recent spatial
-
: Geographic Information Systems (GIS): Knowledge of GIS for spatial analysis, including tools such as ArcGIS or QGIS. Publication & Presentation Experience: Experience in publishing research in peer-reviewed
-
to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
-
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