Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, such as a license, certification, and/or registration. ADDITIONAL REQUIREMENTS • Advanced knowledge of basic statistical principles relevant in medical research • Experience with spatial transcriptomics
-
visualization of spatial data; environmental geospatial modeling, remote sensing and spatial statistics; relational database concepts; identification of spatial temporal turbidity patterns in coastal waters using
-
Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
-
Position Details Position Information Internal Posting? Posting Number SP004690P Position Title Postdoctoral Research Associates, Statistical and Computational Modeling Division/College University
-
activities Experience with spatial statistics or spatial analysis that support decision making Skills in data visualisation and creating clear publication quality maps or graphics Experience working in
-
Scheduled Hours 40 Position Summary As a Senior Bioinformaticist at Washington University, you will play a key role in advancing cutting-edge spatial biology and multi-omics research within
-
, multivariate statistics, spatial and spatiotemporal analysis, sports analytics, and statistics and data science education. We seek candidates who will complement and extend these research areas. We seek
-
methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
-
; developing, interpreting, and applying the two statistical models; and submitting peer-reviewed publications and presenting findings at scientific conferences and stakeholder workshops. Unit URL https
-
About the job: This Postdoctoral Research Fellow position will lead the spatial modelling and habitat association components of the MOSAIC (Multi-disciplinary Ocean Sensing for Adaptive