Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- AbbVie
- Nature Careers
- Genentech
- Johns Hopkins University
- University of North Carolina at Charlotte
- Indiana University
- King Abdullah University of Science and Technology
- Harvard University
- KINGS COLLEGE LONDON
- King's College London
- Montana State University
- National University of Singapore
- Simons Foundation
- University of Michigan
- University of Rhode Island
- University of South-Eastern Norway
- ; Maastricht University
- ; University of Exeter
- City of Hope
- Cornell University
- Emory University
- Florida Atlantic University
- Georgetown University
- Humboldt-Stiftung Foundation
- Imperial College London
- NTNU - Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Northeastern University
- Oklahoma State University
- Purdue University
- SUNY University at Buffalo
- The University of Alabama
- The University of Memphis
- UiT The Arctic University of Norway
- University of British Columbia
- University of California
- University of Texas at Austin
- Vanderbilt University
- Western Norway University of Applied Sciences
- Zintellect
- 31 more »
- « less
-
Field
-
and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In addition to your research leadership, you will play a
-
University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
Kannapolis and UNC Charlotte in Charlotte. Experience in yeast genomics, RNA-sequencing, bioinformatics, or machine learning is preferred. Departmental Preferred Experience, Skills, Training/Education
-
at the intersection of mitochondrial biology, functional genomics, and machine learning. This interdisciplinary initiative focuses on discovering, decoding and engineering mitochondrial microproteins (mito-MPs) with
-
disciplines, including human-robot interaction, robot learning, soft robotics, computer vision, and agricultural robotics. About the PhD project: We are looking for a highly motivated and talented PhD research
-
Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
-
as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas
-
organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
-
apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
-
work that underpins the scientific research of the collaboration. Research Title: Coupling Computation and Machine Learning to evaluate PFAS Chemicals The work will entail: The position is for a
-
marrow transplantation and CAR T cell therapies, spanning basic science to clinical trials. For more information about Dr. van den Brink’s research, please visithere. Lab's Philosophy : We foster a