Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Harvard University
- University of British Columbia
- Nanyang Technological University
- City of Hope
- National University of Singapore
- INESC TEC
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Indiana University
- University of Michigan
- University of Nottingham
- Dana-Farber Cancer Institute (DFCI)
- King's College London
- Max Planck Institute of Biochemistry, Martinsried
- UCL;
- UNIVERSITY OF HELSINKI
- University of Nottingham;
- University of Oslo
- Zintellect
- CIC bioGUNE
- Center for Drug Evaluation and Research (CDER)
- Centro de Engenharia Biológica da Universidade do Minho
- Cori Institute of Molecular and Computational Metabolism
- Dalhousie University
- Francis Crick Institute
- Macquarie University
- Marquette University
- Mayo Clinic
- Missouri University of Science and Technology
- Monash University
- Nottingham Trent University;
- Oden Institute for Computational Engineering and Sciences
- Research Center for Molecular Medicine (CeMM), ÖAW
- SUNY University at Buffalo
- School of Sciences
- The Francis Crick Institute;
- The Institute of Cancer Research;
- University of Colorado
- University of Helsinki
- University of Maryland, Baltimore
- University of Texas at Austin
- 30 more »
- « less
-
Field
-
with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech
-
CW and pulsed laser systems, spectrometers, high-resolution cameras, and delicate optical components are desirable Expertise in advanced data analysis techniques (Machine learning and Deep learning
-
the Lotfollahi Lab – leaders in generative AI and foundation models for spatial and single-cell genomics – you will develop and apply state-of-the-art machine learning approaches to large-scale spatial genomics
-
. The candidate will take the lead on machine learning and computational analyses, primarily supporting our translational research program focused on developing AI-based models to predict cognitive decline. This
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
& Medicine. This is an exceptional opportunity for a talented and ambitious researcher to build an independent, high-impact research program at the intersection of machine learning and healthcare
-
scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
-
Fellow to develop and evaluate artificial intelligence methods for physical medical procedures. The fellow will design and implement machine learning models to analyze procedural data, support clinical
-
protein coding genetic association data with functional and machine learning-derived features 4. Developing methods to characterize the genetic architecture of autism Salary and Benefits This position is
-
interactions, and environmental stimuli, with applications in wearable technologies, intelligent sensing systems, human–machine interfaces, healthcare monitoring, and soft robotics. Key responsibilities include
-
on the development of machine learning algorithms, particularly transfer and adaptive learning, for multimodal wearable biosensing and its translation to rehabilitation and digital health applications. It is co