Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Minnesota
- University of Washington
- St Jude Children's Research Hospital
- Washington University in St. Louis
- CNRS
- Harvard University
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Cornell University
- Empa
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Massachusetts Institute of Technology
- Nencki Institute of Experimental Biology
- Princeton University
- Research Center for Molecular Medicine (CeMM), ÖAW
- Saint Louis University
- SciLifeLab
- Technical University of Munich
- University of Oxford;
- University of Skövde
- Vanderbilt University
- Yale University
- 11 more »
- « less
-
Field
-
Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
statistical modeling, machine learning, or other quantitative approaches for genomics data analysis. • Interest in working closely with experimental scientists and contributing to interdisciplinary biological
-
machine learning within the scope of ACAG. The postdoc will have various opportunities for professional development, including contributing to and leading grant proposal development (e.g., external
-
CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 2 months ago
. Our partners are the Medical University of Vienna, the St. Anna Children’s Cancer Research Institute (St. Anna CCRI) and AITHYRA. Selected candidates will join one of CeMM’s or St. Anna CCRI’s research
-
in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
-
developing new ones, including machine and deep learning methods. There will be opportunities for development of new cell line and animal models and testing, evaluation, and analysis of new genomic
-
://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://cruchagalab.wustl.edu/ . Research Projects: Plasma, CSF and Brain Proteomic analysis. Biomarker identification through the use of machine learning
-
, together with research experience in at least one class of modern generative models, are particularly encouraged to apply. In addition to conducting research, the successful candidate will teach two courses
-
. Position Overview The successful candidate will develop and apply advanced computational and machine learning methods to large-scale genomic, clinical, and imaging datasets, working across one or more of the
-
Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
-
Models Basic Qualifications: A Ph.D. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong