Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Netherlands
- Sweden
- Australia
- France
- Austria
- Denmark
- Spain
- Norway
- Singapore
- Belgium
- United Arab Emirates
- Switzerland
- Portugal
- Czech
- Canada
- China
- Ireland
- Poland
- Morocco
- Luxembourg
- Romania
- Finland
- India
- South Africa
- Hong Kong
- Italy
- Armenia
- Croatia
- Cyprus
- Estonia
- Latvia
- Lithuania
- New Zealand
- Vietnam
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Education
- Social Sciences
- Earth Sciences
- Humanities
- Environment
- Arts and Literature
- Psychology
- Electrical Engineering
- Linguistics
- Philosophy
- Materials Science
- Law
- Physics
- Sports and Recreation
- 13 more »
- « less
-
mechanisms available in multi-parametric MRI, we aim to establish deep learning models that predict biomarkers of diseases progression and response to therapies, with applications in brain tumours and neuro
-
supporting the academic endeavour from curriculum design to engaging in research/scholarship and providing a student enabling environment. Deep and broad experience in effective clinical teaching and learning
-
ICML, ICLR, NeurIPS, CVPR, ACL, EMNLP or similar. 3) Strong proficiency in programming. 4) Strong proficiency in English and communication skills. 5) Experience with machine learning and deep learning
-
in general. Where to apply Website https://www.academictransfer.com/en/jobs/357226/phd-on-development-of-smart-alg… Requirements Specific Requirements Master’s degree in Biomedical Engineering
-
practices. Attend lab meetings, seminars, and participate in departmental and university activities as appropriate. Other Duties as Assigned 5% Qualifications Core Knowledge and Abilities Deep expertise in
-
, applied mathematics, neuroscience, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar
-
topic, the work addresses exploration of new concepts and technologies (in particular for reusable launch vehicles), and methodological research which includes MDO, surrogate modelling, deep learning and
-
51832010 - mohsen.assadi@uis.no Raoof Gholami - Professor - +47 51831406 - raoof.gholami@uis.no Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/291112/phd-fellowship-in-sustain
-
with the centre’s user partner Kongsberg Satellite Services (KSAT). We are therefore seeking someone with a strong interest and competence in deep learning. Working environment: The project will be done
-
and development of perception stacks for autonomous mobile systems in general in any field Machine learning/deep learning experience applied to perception and any experience with deep Learning