Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
at the intersection of psychology and biology, who thrive in interdisciplinary research environments! Disciplines Biomedicine, life science, health science, psychology, computing Application The application should be
-
. The development of novel immunologic techniques and applying novel technologies will be included in this effort. Collaboration with pathologists for correlations with tissue imaging and with computational
-
pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments
-
Sciences will be supporting up to six fellowships based at the I-X Centre for AI in Science . The key evaluation criterion is excellence. Applicants will need to identify an Imperial academic staff member to
-
partners, including other Harvard Medical School-affiliated hospitals. The Fischer Lab at Dana-Farber Cancer Institute is a Structural and Chemical Biology lab that combines molecular biology, computational
-
address the relevant question of how chemicals in plastics affect human health and gain valuable experience in interdisciplinary work across toxicology, molecular biology and brain research. The purpose
-
strong background in computer science and bioinformatics analysis of large datasets. The applicant should be highly self-motivated and have a track record of publications (first-authored publications in
-
selected candidates. This is a high-impact role with the potential to shape the future of rare disease research. Join us to push the boundaries of what’s possible in computational biology and personalised
-
, and mass spectrometry) and a highly collaborative, interdisciplinary environment in Dana-Farber’s Longwood Center. We are part of the Chemical Biology program at the Dana-Farber and the Department
-
the broader scientific community through writing papers, presenting at conferences, and writing grants. Employ computational approaches to analyze complex data sets, including next generation sequencing data