Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Netherlands
- France
- Germany
- Norway
- Denmark
- United Kingdom
- Spain
- Austria
- Poland
- Belgium
- Switzerland
- Portugal
- China
- Luxembourg
- Finland
- Ireland
- Brazil
- Canada
- Morocco
- Saudi Arabia
- Singapore
- United Arab Emirates
- Czech
- Lithuania
- Australia
- Hong Kong
- Italy
- Japan
- Slovenia
- Andorra
- Bulgaria
- Cyprus
- Estonia
- Greece
- Romania
- South Africa
- Taiwan
- 29 more »
- « less
-
Program
-
Field
-
supports DEI/JEDI initiatives to create a culture of belonging https://careersearch.stanford.edu/diversity . Your primary responsibilities include*: Work with the faculty, postdocs, and department
-
large-scale speech and wearable data from participants in the GLAD Study cohort ( https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
-
at the top venues of machine learning research. Responsibilities and qualifications You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in one
-
candidates with strong expertise in Bayesian methods, uncertainty quantification, and/or machine learning applied to nuclear theory. The group’s research spans a wide range of topics including nuclear
-
Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
datasets. Proficiency in at least two of the following programming languages: Python, R. Experience in Machine Learning and Computational RNA Biology are desirable. Hands-on experience or understanding
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 21 days ago
attention to detail and quality; strong computer skills, including Microsoft Office suite (Outlook, Word, Excel, and PowerPoint); Internet proficiency; and knowledge of or ability to learn human resource
-
biosensor imaging, and behavioral pose estimation. The specialist will integrate multimodal datasets and apply advanced statistical and machine-learning methods to uncover relationships between gene
-
institutes , 300 full-time faculty , and close to six thousand students. Faculty First-Look participants will have the opportunity to engage with NYU Steinhardt Deans, Faculty, and Postdocs to: Learn best
-
acoustic scene analysis are addressed, using a combination of model-based statistical signal processing techniques and data-driven machine learning methods. The Signal Processing Division has access
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
accessed using the link above. Jiawei Zhou Ph.D. The candidate will be co-mentored by Dr. Yanguang (Carter) Cao and Dr. Jiawei Zhou to advance the development of artificial intelligence/machine learning (AI