Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Medical Sciences
- Biology
- Statistics
- Chemistry
- Social Sciences
- Computer Science
- Psychology
- Business
- Education
- Law
- Materials Science
- Environment
- Physics
- Sports and Recreation
- Economics
- Arts and Literature
- Mathematics
- Earth Sciences
- Electrical Engineering
- Humanities
- Engineering
- Linguistics
- Design
- 13 more »
- « less
-
-of-the-art facilities for genomics, light microscopy, physical biochemistry, structural biology (cryo-electron and crystallography) and advanced high-performance computing resources. This 10‐month
-
genetics Human genetics Population genetics Evolutionary genetics Bayesian statistics Machine learning Large-scale genomic data analysis High-performance computing Experience in human population genetics
-
-of-the-art facilities for genomics, light microscopy, physical biochemistry, structural biology (cryo-electron and crystallography) and advanced high-performance computing resources. This 10‐month
-
state-of-the-art facilities for genomics, light microscopy, physical biochemistry, structural biology (cryo-electron and crystallography) and advanced high-performance computing resources. This 10
-
facilities for genomics, light microscopy, physical biochemistry, structural biology (cryo-electron and crystallography) and advanced high-performance computing resources. This 10‐month appointment would
-
facilities for genomics, light microscopy, physical biochemistry, structural biology (cryo-electron and crystallography) and advanced high-performance computing resources. This 10‐month appointment would
-
facilities for genomics, light microscopy, physical biochemistry, structural biology (cryo-electron and crystallography) and advanced high-performance computing resources. This 10‐month appointment would
-
successful candidate will join a collegial, research-active department with strengths in Bayesian methods, high-dimensional statistics, computational statistics, physics-informed inference, and
-
successful candidate will join a collegial, research-active department with strengths in Bayesian methods, high-dimensional statistics, computational statistics, physics-informed inference, and
-
-sciences hubs. The successful candidate will join a collegial, research-active department with strengths in Bayesian methods, high-dimensional statistics, computational statistics, physics-informed