1,326 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Denmark
- Austria
- United Kingdom
- France
- Spain
- Worldwide
- India
- Belgium
- Canada
- Mexico
- Sweden
- Hong Kong
- South Africa
- Switzerland
- Luxembourg
- Italy
- Australia
- Finland
- Singapore
- United Arab Emirates
- Ireland
- Japan
- Netherlands
- Poland
- South Korea
- Turkey
- Argentina
- Barbados
- Cambodia
- Czech Republic
- Guadeloupe
- Israel
- Norway
- Portugal
- Taiwan
- Vietnam
- 28 more »
- « less
-
Program
-
Field
-
: https://ragoninstitute.org/yu/ and https://ragoninstitute.org/lichterfeld/ Job Duties: Responsible for the design, execution, and interpretation of experiments; Interfaces with collaborators to design
-
your CV and academic transcripts. Eligibility & Funding Positions: Researchers who meet the conditions 4.1.1-4.1.4: https://tubitak.gov.tr/sites/default/files/2024-11/2232-Guide-EN.pdf https
-
of January 2026 on the dedicated platform (https://ibsafoundation.poliresearch.com/ ) and shall provide the following additional documents as separate files: Curriculum Vitae List of peer-reviewed publications
-
Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies: (1) the chemical
-
The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
-
) Experience in genomics, single-cell data, or machine learning (preferred) Why this is exceptional Build next-generation AI models of the human genome Work with one of the richest longitudinal PD datasets
-
provides a cellular therapy program, which includes the use of viral specific T-cells (VSTs), chimeric antigen receptor (CAR) engineered T-cells and gene therapy products. As a clinical fellow in our Bone
-
epigenetics research. The fellow will also benefit from state-of-the-art research facilities and the highly collaborative community at NYU. Further information about our research can be found at: http
-
human health. Within this mission, the Funke group is developing machine learning methods for automatic and semi-interactive analysis of biomedical image datasets, concretely: (1) semantic and instance
-
human health. Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR