Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Science
- Economics
- Materials Science
- Mathematics
- Business
- Earth Sciences
- Chemistry
- Electrical Engineering
- Linguistics
- Arts and Literature
- Environment
- Physics
- Law
- Education
- Humanities
- Philosophy
- Psychology
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
collection, management, interpretation, and analysis of complex datasets from diverse sources. Apply advanced statistical and analytical methods to extract actionable insights, develop predictive models, and
-
of existing studies to promote the use of risk-informed decision frameworks, prediction models, AI applied to planetary protection. Tasks include: Support the creation of probabilistic models for planetary
-
processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
-
learning, generalization/robustness and privacy aspects in scalable learning algorithms. Large‑scale optimization and control: Optimal control, model predictive control and other optimization‑based control
-
plus. Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making. Demonstrated experience designing and implementing
-
, processing, ad-hoc reporting, and predictive modeling. Develop clear, accurate visualizations to support research interpretation. Maintain up-to-date skills in R and STATA. Presentation & Publication Support
-
mechanisms of adaptive and acquired drug resistance, exploring network-level control and feedback in cell signaling systems, identifying novel drug targets and therapeutic strategies, and developing predictive
-
of large, cross-departmental initiatives. The analyst deploys data extraction, transformation, and loading (ETL) processes; classical statistical analysis; predictive and prescriptive modeling; optimization
-
Gaussian process regression to represent unknown dynamics for model predictive control. Despite the practical success, there are still many theoretical open questions regarding scalability, uncertainty
-
operating model and governance structure that ensures reliable service delivery, strong change control, appropriate separation of duties, and alignment with institutional priorities. In addition, the Director