Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Norway
- United Kingdom
- Denmark
- Germany
- Sweden
- Belgium
- France
- Netherlands
- Singapore
- China
- Hong Kong
- Australia
- Spain
- Poland
- United Arab Emirates
- Canada
- Luxembourg
- Portugal
- Estonia
- Italy
- Latvia
- Czech
- Worldwide
- Cyprus
- India
- Switzerland
- Austria
- Morocco
- Andorra
- Armenia
- Bulgaria
- Europe
- Greece
- Lithuania
- Mexico
- New Zealand
- Slovenia
- South Africa
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Science
- Biology
- Arts and Literature
- Mathematics
- Humanities
- Business
- Education
- Materials Science
- Environment
- Psychology
- Social Sciences
- Electrical Engineering
- Chemistry
- Earth Sciences
- Linguistics
- Design
- Sports and Recreation
- Law
- Physics
- Philosophy
- 14 more »
- « less
-
, aiming to enable faster, cheaper, and more robust production through machine learning, multi-scale modelling, and advanced process simulation. The successful candidate will be based at the Bristol
-
department houses a nationally recognized Doctor of Physical Therapy program {ranked #10 nationwide, and #6 for DPT programs at public institutions), a well-established PhD in Rehabilitation Science program
-
Translation Use bioinformatics, statistics, data science, and machine learning to build risk models and surveillance tools that connect host immunity, microbial ecology, and pathogen transmission dynamics
-
facility data, computing, and administrative operations, including data storage and backup, basic computer systems administration (LINUX-based systems), maintenance of user records, scheduling, and
-
research interest (this gives some insight in your vision on future research) and c) your research experience (mostly what your Master thesis was about), so we understand your motivation of doing a PhD with
-
statistical and machine learning techniques to analyze datasets related to aging, Alzheimer’s disease or related dementias. The successful candidate will work as part of a multi-disciplinary team including
-
Collaborative, New Jersey Cohort Study, and other on-going IFH research programs related to aging and memory. Ideal candidates will bring vision and experience in modern aging and memory research, methodological
-
the Ice Sheet and Sea Level System Model (ISSM). and/or The development of automated (e.g., machine learning) approaches for mapping glacier-surface morphologies on Mars. You will join a cutting-edge
-
enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision
-
intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with an indication of the attached publications that you wish to be taken