Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Denmark
- Sweden
- Germany
- Netherlands
- Morocco
- Norway
- Hong Kong
- United Arab Emirates
- Australia
- Canada
- France
- Ireland
- Belgium
- Austria
- Finland
- Spain
- Switzerland
- China
- Luxembourg
- Japan
- Mexico
- Saudi Arabia
- Benin
- Czech
- Estonia
- India
- Qatar
- Sao Tome and Principe
- Singapore
- South Africa
- 22 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Chemistry
- Mathematics
- Psychology
- Humanities
- Materials Science
- Environment
- Social Sciences
- Business
- Electrical Engineering
- Earth Sciences
- Arts and Literature
- Physics
- Education
- Linguistics
- Law
- Sports and Recreation
- 12 more »
- « less
-
., geography, urban planning, data science, sociology, public health). Ideal applicants will have: *Expertise conducting spatial and statistical analyses *Experience with scientific computer programming in R and
-
applicants for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
-
, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured light-trapping
-
optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
-
to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
-
university deep tech startups, carry out independent, high-quality research leveraging this data, and engage with stakeholders in the Danish and international deep tech arena. Responsibilities and
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We combine
-
, GEANT4) will be an advantage. A background in radiation oncology or medical physics will be an advantage. Excellent written and verbal communication skills. Experience with cloud computing and big data