Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
) disseminate results through quality publications and open-source algorithms and software. Qualifications: Ph.D. in Computer Science/Engineering, Biomedical or Electronic Engineering, Data Science, Biostatistics
-
involves a deep dive into biological systems using computational techniques. The candidate will help design and implement algorithms to analyze complex biological data (like high-throughput sequencing data
-
. Responsibilities Analysis of activations maps in mouse brains, primarily using R free-source library. Develop computer codes, primarily using ImageJ and Python, to implement algorithms for characterizing brain maps
-
-physiology and the development and application of remote sensing algorithms is highly essential. The candidate should be proficient in working with data from a range of satellite sensors, with particular
-
on the use of Machine Learning algorithms for rapid damage assessment. Research topics could focus on: the definition and use of novel damage sensitive features, physics informed machine learning, transfer
-
oral communications skills needed - a writing sample is required. ? Expertise in processing large volumes of data and algorithm design expertise. ? Experience in market design applications preferred
-
to genetic, genomic, proteomic and/or metabolomic data from hospitalized children; developing predictive algorithms for in-hospital events; investigating pattens and quality of care for hospitalized children