Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Portugal
- Germany
- Sweden
- Netherlands
- Norway
- Spain
- Belgium
- Denmark
- Italy
- Singapore
- Australia
- Finland
- Ireland
- Luxembourg
- Morocco
- Switzerland
- Canada
- China
- Poland
- Czech
- Austria
- Japan
- Estonia
- Hong Kong
- United Arab Emirates
- Brazil
- Malta
- Vietnam
- Andorra
- Macau
- Saudi Arabia
- Slovakia
- Barbados
- Bulgaria
- Iceland
- Latvia
- Romania
- Slovenia
- 31 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Environment
- Business
- Humanities
- Arts and Literature
- Law
- Linguistics
- Psychology
- Physics
- Social Sciences
- Electrical Engineering
- Sports and Recreation
- Education
- Design
- Philosophy
- 14 more »
- « less
-
/develop predictive models that can inform future land management and conservation strategies. Responsibilities • Data mining: Compile, review and complete pollen data and age-depth models from existing
-
their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
-
The Department of Medical Biosciences is offering a postdoctoral scholarship within the project “Developing computational tools for large-scale human intracellular signaling models”. The scholarship
-
The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
-
accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control, MPC
-
and the interplay with polymer viscosity. Structure-Property Relationships: Establishing the relationship between polymer flow, fibre displacement and the manufacturing parameters. Building a predictive
-
with a strong background in machine learning and LLMs, computer science, and modeling. The candidate will join the project “AI-driven predictive maintenance for buildings: Einar Mattsson (EM) - KTH
-
will focus on designing computationally efficient, scalable, and adaptive AI models that operate under strict constraints in radio access, edge, and non-terrestrial network environments. The position is
-
outcomes, and multi-OMICS profiles, the project will generate predictive models to guide safer and more effective, individualized steroid use. As such, the candidate will be responsible for data
-
Position overview Position title: Moore Postdoctoral Fellow Salary range: A reasonable salary range estimate for this position is $69,073 - $71,632. The posted UC academic salary scales (https