Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- Harvard University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Zintellect
- Nanyang Technological University
- University of Maryland, Baltimore
- University of Nottingham
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Center for Drug Evaluation and Research (CDER)
- Cornell University
- Deakin University
- Florida Atlantic University
- Indiana University
- Max Planck Institute for Political and Social Science, Göttingen
- Montana State University
- Nature Careers
- Trinity College Dublin
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- University of Birmingham
- University of Sydney
- University of Texas at Austin
- ;
- Amgen
- Auburn University
- Barnard College
- Carnegie Mellon University
- Center for Biologics Evaluation and Research (CBER)
- Centro de Engenharia Biológica da Universidade do Minho
- Curtin University
- Georgia Institute of Technology
- Hokkaido University
- Institute of Computer Science CAS
- King Abdullah University of Science and Technology
- London School of Hygiene & Tropical Medicine;
- QUEENS UNIVERSITY BELFAST
- Queen's University
- Queen's University Belfast
- Queen's University Belfast;
- Scuola Superiore Sant'Anna di Pisa
- Simula UiB
- Swansea University
- The University of Queensland
- The University of Southampton
- UCL;
- University College London
- University of Basel
- University of British Columbia
- University of California, San Francisco
- University of Leeds
- University of London
- University of Michigan
- University of Otago
- Université Libre de Bruxelles (ULB)
- Østfold University College
- 46 more »
- « less
-
Field
-
substantial complexity. This dynamic interplay makes the multi-reservoir system both ideal and challenging for developing advanced spatiotemporal forecasting models. By integrating causal inference with
-
specimens; DNA extraction and library preparation using the Angiosperms353 bait kit; Performing phylogenomic inference; Formatting project outputs using data standards, sharing using open repositories
-
, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
-
Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 19 days ago
predictive models to infer from Standard for Exchange of Nonclinical Data (SEND) data which target organs will likely be identified by reviewers. After the models have been trained and prospectively validated
-
statistical inference/optimization, and will have the chance to mentor both undergraduate and graduate students in these areas (as it relates to joint projects). Special Instructions Required application
-
Development and validation of computational methods to infer epidemiological quantities Embedded within the Centre for Epidemic Research and Modelling (CERM) at SSHSPH, researchers will work among a community
-
Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 19 days ago
and mentorship within the FDA’s Office of Biostatistics. During the appointment, you will learn how to: Participate in seminars and meetings focused on statistical review practices, causal inference
-
to high-dimensional and multi-modal biomedical data. Causal Inference, Fairness, and Trustworthy AI in real-world healthcare applications. Our group actively collaborates with large national and
-
zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Enable real
-
challenging for developing advanced spatiotemporal forecasting models. By integrating causal inference with interpretable AI techniques, the project aims not only to improve prediction accuracy but also to