Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
-
Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
-
scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
-
. Develop software and data services with researchers to ensure that modern standards of reproducible code are kept. Job-Specific Responsibilities: We are looking for a highly skilled Bioinformatics Software
-
for genome sequencing data to enhance our understanding of disease processes including cancer and brain-related diseases. Areas of interest include: Identification of mosaic mutations in non-tumor cells and
-
outstanding opportunities for continued scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial
-
, United States of America [map ] Subject Areas: Biomedical Sciences / biochemistry , cancer , development , genetics , genomics , infectious disease , RNA biology , stem cell biology , virology Computer Engineering / Cloud
-
neurodegenerative processes. Responsibilities: Conduct biochemical, genetic, and transcriptomic analyses of key regulators of brain aging using mouse and cerebral organoid models. Design and perform experiments
-
diversity and population dynamics of bacterial populations in the host.We are seeking an Associate to conduct bioinformatic analysis comparing sequence diversity in sputum verses culture for Mycobacterium
-
the Weingarten lab at Harvard Medical School in Boston Massachusetts. Our laboratory works at the intersection of virology, synthetic biology, immunology, and bioinformatics to bioengineer high throughput methods