Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- Nature Careers
- AbbVie
- UNIVERSITY OF SOUTHAMPTON
- University of British Columbia
- University of Michigan
- City of Hope
- Harvard University
- INESC TEC
- National University of Singapore
- University of Birmingham
- Genentech
- Instituto Pedro Nunes
- King's College London
- Monash University
- Northeastern University
- RMIT UNIVERSITY
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Singapore Institute of Technology
- The University of Southampton
- UiT The Arctic University of Norway
- University of California
- University of Minho
- University of Southampton;
- University of Texas at Austin
- ;
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian National University
- Dana-Farber Cancer Institute
- Emory University
- FCiências.ID
- Florida Atlantic University
- George Mason University
- Hong Kong Polytechnic University
- Hospital de Câncer de Barretos
- Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra
- Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra
- Instituto Superior Técnico
- Johns Hopkins University
- KINGS COLLEGE LONDON
- Lawrence Berkeley National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Open Society Foundations
- Politécnico de Leiria
- Purdue University
- RMIT University
- School of Sciences
- SciLifeLab
- The University of North Carolina at Chapel Hill
- UCL;
- Universidade Nova de Lisboa
- University of Leeds;
- University of Liverpool
- University of Michigan - Ann Arbor
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of South-Eastern Norway
- University of Stavanger
- University of Tartu
- University of Texas Rio Grande Valley
- University of Waterloo
- WESTERN SYDNEY UNIVERSITY
- Zintellect
- 54 more »
- « less
-
Field
-
implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
-
the last three years. Solid experience with AI/machine learning methodologies, particularly those applicable to network optimization. Proven ability in programming and familiarity with network simulation
-
, design, implement, and validate an optimization system for scheduling group classes within the Koachy platform. The specific goals include: Develop attendance prediction models for different types
-
health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, and safety profiles, and how these relationships can be predicted using machine learning based on drug-specific information, patient demographics, and clinical trial data. 2. Modeling for Regulatory
-
programming language Experience with statistical inference or machine learning methods (e.g. ABC, Bayesian modelling) A proven publication record with at least one first author publication in a peer-reviewed
-
). Applying advanced statistical and machine learning methods (e.g., predictive modelling, clustering, multivariate integration) to large-scale time series and sensor datasets. Contributing to the development
-
learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT
-
. Given their importance, continuous monitoring and fault diagnostics are crucial—especially as machine learning algorithms play an increasingly prominent role in predictive maintenance and reliability
-
statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing to the development of biomarkers and predictive models. A critical part of your