Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- United Kingdom
- Germany
- France
- Netherlands
- Sweden
- Spain
- Belgium
- Poland
- Norway
- Denmark
- Singapore
- Italy
- United Arab Emirates
- Australia
- Romania
- Morocco
- Switzerland
- Luxembourg
- Finland
- Czech
- Austria
- Lithuania
- Canada
- Macau
- China
- Brazil
- Estonia
- Ireland
- Japan
- Croatia
- Cyprus
- Greece
- Taiwan
- Andorra
- Hong Kong
- Israel
- Latvia
- Qatar
- Vietnam
- Worldwide
- Europe
- India
- Malta
- Mexico
- Saudi Arabia
- Slovenia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Mathematics
- Business
- Chemistry
- Environment
- Education
- Earth Sciences
- Electrical Engineering
- Arts and Literature
- Psychology
- Law
- Social Sciences
- Physics
- Humanities
- Linguistics
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
is an in-person or hybrid role, we cannot accommodate a fully-remote candidate for this role. What You Will Be Doing Model and simulate: Build and mesh 3D model geometries Develop math models and
-
assembling the photonic processor, integrating it with ML models, and implementing the feedback loop necessary for the models' relearning capability. Scientific Area: Basic Sciences and Enabling Technologies
-
model of the Inspection Testbed. Use CS Ontology elements or add new elements if necessary. Include requirements, verifications and traceability. Include resilience KPIs in the model. Upload the model
-
particle lifetime. You will combine experiments and simulations (CFD-DEM, population balance modeling) to study breakage behavior, supported by mechanical testing and in-situ micro-computed tomography (µCT
-
inverter topologies (e.g. Dual inverter, 4 bridge inverter) with modern semiconductor devices (GaN, SiC) The aim is to implement own designed algorithms in a signal processor and simulation environment
-
nanostructures for photonic integration in smart vision systems. In particular, he/she will be responsible for the theoretical study and development of codes and numerical models for computer simulation and design
-
be funded within the project titled ”A Probabilistic Inverse Model for Identifying the Source of Atmospheric Contamination on a Continental Scale” funding under the prestigious SONATA 20 competition
-
pollution and its impacts. In the OSEAMS project, the postdoctoral researcher will mainly work with zero-dimensional box models, using historical atmospheric observation data to analyze the drivers of ozone
-
approaches, and performing coarse-graining to obtain effective models at various scales. Special Instructions Contact Information Jason Eldridge https://www.physics.harvard.edu/ Harvard Physics Department 17
-
methodologies, interfaces, and best practices to ensure model reusability and knowledge transfer across teams. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/systemctlm-modeling