Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Science
- Medical Sciences
- Economics
- Materials Science
- Mathematics
- Business
- Earth Sciences
- Chemistry
- Electrical Engineering
- Linguistics
- Arts and Literature
- Environment
- Law
- Physics
- Education
- Humanities
- Philosophy
- Psychology
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
–2023), the model demonstrated good predictive performance for daily and weekly dengue cases based on two years of sentinel hospital data. As part of the ANRS SEA-ROADS programme (2024–2027), coordinated
-
injury risk analysis, predictive analytics, and recruitment and talent identification models; Works with individual players and helps them develop on the field through video analysis; Participates in
-
polygenic risk scores, rare variant burden scores, and integrative prediction models. Evaluate model performance and clinical utility. Identify therapeutic targets and causal risk factors for cardiovascular
-
challenges related to data reliability in monitoring networks, which can affect simulation models or related control systems. Collaboration with multidisciplinary teams will be essential, as the research
-
defects, are currently a major limiting factor for metal printing. In nanomedicine, various nanoparticles are used for controlled drug delivery and therapies, and laser-excited nanobubble-inducing shockwave
-
, product management work, and and leadership responsibilities • Familiarity with artificial intelligence and machine learning approaches, including predictive modeling and precision analytics applied
-
unsupervised learning Distributed / decentralised command and control: synchronisation, coordination, adaptation, for example using multi-agent systems Decision support under uncertainty Modelling and simulation
-
commercial and open source cloud computing platforms designed to support the development of predictive analysis models. In addition, he/she will design and implement backend and frontend software
-
they change through time. To translate eBird observations into robust data products we create custom modeling workflows designed to fill spatiotemporal gaps based on remote sensing data while controlling
-
, AtomGPT). Working Knowledge Of: • Workflow tools (e.g., ASE) and HPC environments. • Software development in Python, Git-based version control, and Conda packaging. • Data integration and surrogate modeling