Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Denmark
- Germany
- Sweden
- Morocco
- Netherlands
- Belgium
- Australia
- Canada
- France
- Finland
- Norway
- Luxembourg
- United Arab Emirates
- Spain
- Ireland
- Mexico
- Switzerland
- Hong Kong
- Austria
- Andorra
- China
- Czech
- Brazil
- Estonia
- Italy
- Japan
- New Zealand
- Sao Tome and Principe
- Worldwide
- 21 more »
- « less
-
Field
-
silico work, including sequence design, data analysis, experimental planning, and writing publications. The postdoc will work closely with the PI and a PhD student. An ideal candidate must hold, or be
-
Internal Number: 6397400 Postdoctoral Scholar - Voting Law/Data Analysis- Goldman School of Public Policy Position overview Position title: POSTDOC-EMPLOYEE Salary range: The UC postdoc salary scales set the
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
Familiarity with statistical analysis and interpretation of experimental data Experience in scientific writing, especially for publications and third-party funding applications Proficient English and, ideally
-
Recruitment Seek PhDs skilled in data mining, AI, nano-optics, and protein-structure analysis Preference for candidates with multi-disciplinary or industry–academia–research collaboration experience Development
-
Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 10 hours ago
of radioactive decay. The successful candidate will play a leading role in one or more of the following activities: Hardware development and data analysis from liquid xenon test platforms studying ionization readout
-
data analysis is a plus but not required. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance
-
conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical
-
contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in silico work, including sequence design, data analysis, experimental planning, and
-
-Intensive Engineering and Science (part of the new Data Science and AI center), and at the National Radio Astronomy Observatory. Required qualifications are: PhD in Astronomy, Astrophysics, Physics, or a