Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Norway
- Portugal
- Singapore
- Belgium
- Spain
- Netherlands
- Denmark
- United Arab Emirates
- China
- Italy
- Canada
- Luxembourg
- Switzerland
- Australia
- Hong Kong
- Austria
- Finland
- Czech
- Ireland
- Poland
- Cyprus
- Japan
- Morocco
- Brazil
- Estonia
- Latvia
- India
- Saudi Arabia
- Lithuania
- South Africa
- Bulgaria
- Greece
- Romania
- Taiwan
- Andorra
- Israel
- Slovenia
- Armenia
- Barbados
- Europe
- Iceland
- Malta
- Mexico
- New Zealand
- Slovakia
- Vietnam
- 41 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Education
- Psychology
- Materials Science
- Arts and Literature
- Humanities
- Chemistry
- Social Sciences
- Linguistics
- Earth Sciences
- Environment
- Electrical Engineering
- Law
- Sports and Recreation
- Physics
- Design
- Philosophy
- 14 more »
- « less
-
provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible
-
Mathematics, or a related field A strong background in image/signal processing, particularly in computer vision. Strong programming skills and experience with at least one deep learning framework e.g
-
, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7
-
balance fails in disease or injury and how it might be restored. For more information on our research interests, please visit https://www.zhulab.fish The lab uses larval zebrafish as a tractable and
-
About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
-
being performed. Basic computer skills including a working knowledge of Microsoft Word, Excel, and PowerPoint. Proficiency in R studio or other statistical software; or an equivalent combination
-
statistical inference, machine learning and population genetics. The expected outcomes include new computational tools for studying B cell evolution, insights into age dependent immune diversity and the
-
development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
-
» OtherEducation LevelPhD or equivalent Skills/Qualifications Who you are PhD in Computer Science, Machine Learning or related field or 5+ years of relevant industrial experience. Strong track record of developing
-
, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal