Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of British Columbia
- University of Bergen
- University of Oslo
- Nanyang Technological University
- Northeastern University
- University of Michigan
- University of Texas Rio Grande Valley
- AbbVie
- CSIRO
- Harvard University
- Humboldt-Stiftung Foundation
- Johns Hopkins University
- King's College London
- Marquette University
- National University of Singapore
- Nature Careers
- SciLifeLab
- University of Birmingham
- University of Maryland, Baltimore
- University of Sheffield
- University of South-Eastern Norway
- University of Stavanger
- Western Norway University of Applied Sciences
- Zintellect
- 14 more »
- « less
-
Field
-
-throughput measurements of molecular binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting a Postdoctor that wants to use and
-
, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
-
invites applicants for four PhD Fellowships in subsurface characterization within geosciences, reservoir engineering, molecular modelling, and machine learning at the Faculty of Science and Technology
-
learning experts across Integreat research themes. More about the position Machine learning is the mathematical and computational engine of Artificial Intelligence (AI). It is a fundamental force of
-
data, leveraging advanced computational models, and applying state-of-the-art genomic technologies. The postdoc will develop new computational approaches to further our mission to identify drug targets
-
pharmacokinetic modeling. Our research team is multicultural and diverse, and provides unique opportunities for our trainees and researchers to freely explore creative ideas in supportive environments. The clinical
-
, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field
-
have a PhD in computational modeling/oncology, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement
-
challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project description The PhD project aims to explore how multiple layers
-
Together, these research directions seek to reimagine how buildings and cities operate—optimizing energy use, enhancing human well-being, and reducing carbon emissions at scale. We are seeking multiple