Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- University of North Carolina at Chapel Hill
- Brookhaven Lab
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- Technical University of Munich
- University of Washington
- Washington University in St. Louis
- Boston University
- Centre for Genomic Regulation
- Duke University
- European Space Agency
- Forschungszentrum Jülich
- Georgia State University
- Heriot Watt University
- Institut Pasteur
- KINGS COLLEGE LONDON
- Max Planck Institute for Astronomy, Heidelberg
- Norwegian University of Life Sciences (NMBU)
- Oak Ridge National Laboratory
- Purdue University
- Technical University of Denmark
- The University of Arizona
- UNIS
- UNIVERSITY OF VIENNA
- University of British Columbia
- University of Miami
- University of New Mexico
- University of New South Wales
- University of Oklahoma
- University of Utah
- Vanderbilt University
- Wageningen University and Research Center
- Western Norway University of Applied Sciences
- Yale University
- 26 more »
- « less
-
Field
-
, international relations and global development studies. The selected candidate will have a large degree of freedom to develop the focus and direction of their post-doctoral research, and in a way that connects to
-
and analysis of big data, especially genetics and genomics datasets. However, we will consider qualified applicants with experience in other related research areas. The successful applicant is expected
-
, and to develop therapeutic avenues. The group is particularly interested in understanding how genomic information is used to direct cell-specific gene expression, and to pinpoint gene regulatory defects
-
industrial and healthcare technology to fundamental scientific research, both in our own laboratories and in collaboration with a large international network of partners in academia and industry. LUPO is
-
paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
-
the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data. Running simulation studies and other pre-intervention
-
, and image analysis tools and working on a computing cluster (HPC). Vivid Interest in interdisciplinary research, leading and working on projects with pathologists, medical experts, computer scientists
-
students, and senior scientists, all working together in a collaborative environment. Qualifications Ideal candidates will have: A PhD in Genetics Bioinformatics, Computer Science, Data Science, Statistical
-
driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
-
working with genomics data sets. Prior experience working on high performance computing clusters. Prior experience with statistical and mathematical modeling and/or AI. Type Benefited Staff Special