1,601 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Austria
- Denmark
- United Kingdom
- France
- Worldwide
- India
- Spain
- Belgium
- Canada
- Sweden
- Mexico
- South Africa
- Hong Kong
- Switzerland
- Luxembourg
- Italy
- Singapore
- United Arab Emirates
- Australia
- Finland
- Netherlands
- Ireland
- Japan
- Norway
- Poland
- South Korea
- Turkey
- Argentina
- Barbados
- Czech Republic
- Guadeloupe
- Israel
- Portugal
- Taiwan
- Vietnam
- 27 more »
- « less
-
Program
-
Field
-
the HNSCC team, including Taran Gujral (machine learning-enabled drug screening), Slobodan Beronja (mouse models of HNSCC), and Patrick Paddison (functional genomics). This work will encompass a broad array
-
multiple AI fields, including machine learning (including deep learning, foundation models or agentic AI), human-centered AI (including social computing, multi-modal processing or robotics), digital security
-
of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world
-
information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700. Questions regarding the Cluster of Excellence can be directed
-
Biochemistry (IPB, https://www.ipb-halle.de/en/ ) the following position is to be filled ideally on October 1st, 2027: Full Professor (Chair, W3) of Chemistry of Natural Products and Bioactives und Director at
-
that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow. Visit http
-
support as Chancellor Scholars. Academic rank and salary will be commensurate with qualifications and experience. For details and to submit your application, visit https://phri.njms.rutgers.edu/ and https
-
partnering with Perrett Laver in the recruitment to this role. To apply, or to download further information please visit https://plusportal.perrettlaver.com/ quoting reference 8238.The deadline
-
in daily research. The successful candidate: has knowledge in general wet lab practice (e.g. tissue processing, DNA/RNA processing, molecular biology) and willingness to learn new techniques and
-
, machine learning, and data-driven modeling methods, physiology, transport, fluid and solid mechanics, systems analysis, circuit prototyping, technology transfer, and biomedical design practices, in