Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Italy
- Spain
- Belgium
- Australia
- Netherlands
- Portugal
- Singapore
- Canada
- Finland
- China
- Hong Kong
- Ireland
- Luxembourg
- Malta
- Poland
- Andorra
- Denmark
- Japan
- Macau
- Switzerland
- United Arab Emirates
- Austria
- Barbados
- Czech
- Estonia
- Morocco
- Norway
- Romania
- Saudi Arabia
- 24 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Mathematics
- Business
- Materials Science
- Environment
- Chemistry
- Earth Sciences
- Law
- Psychology
- Humanities
- Linguistics
- Sports and Recreation
- Arts and Literature
- Physics
- Social Sciences
- Education
- Electrical Engineering
- 12 more »
- « less
-
Observatory (Part Time) Posting Number req25571 Department Steward Observatory Department Website Link https://astro.arizona.edu/ Location Steward Observatory Address 9040 S. Rita Rd, Suite 1500, Tucson, AZ
-
taken GC as a covarying factor that could modulate host responses to parasitism. In a near future, GC is expected to greatly impact the distribution and pathogenicity of parasites. Predicting
-
Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: Applications accepted all year round Details We welcome applications for a PhD in population ecology and demographic modelling within a dynamic, interdisciplinary research group tackling big questions across
-
candidate will be expected to teach interdisciplinary courses in our Computation & Design major, including Computational Social Science, Machine Learning for Social Science, Modeling and Predicting, and
-
extent the research to prediction models and different product development, which can be tested on pilot scale as well. Duties As a Ph.D. student you are expected to perform both experimental and
-
, Mullins effect, and damage mechanisms. The main objective is to identify biomechanical biomarkers of tissue fragility and to develop predictive models of stiffening and failure, integrating histological
-
–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
-
linear models Knowledge and implementation of machine/statistical learning methodology (predictive modeling workflow) R package development experience Demonstrated experience with Tableau (or Power BI
-
multimodal neuroimaging, artificial intelligence, and multi-omics approaches to build diagnostic tools, identify biomarkers, develop models and tools to predict and improve treatment outcomes to impact
-
operations, and build a resilient, future-ready business model. This role is company-based and will be delivered in collaboration with Queen’s Business School. Our Story Founded in 1946, Haldane Fisher Group