Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Norway
- France
- United Kingdom
- Netherlands
- Portugal
- Sweden
- Denmark
- Germany
- Australia
- Belgium
- Poland
- Singapore
- Spain
- Finland
- Austria
- Ireland
- Canada
- Czech
- Italy
- China
- Luxembourg
- Romania
- Estonia
- Japan
- Switzerland
- Morocco
- United Arab Emirates
- Lithuania
- Latvia
- Hong Kong
- Andorra
- Bangladesh
- Barbados
- Europe
- Greece
- India
- Israel
- Malta
- New Zealand
- Saudi Arabia
- 31 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Materials Science
- Mathematics
- Chemistry
- Earth Sciences
- Education
- Social Sciences
- Electrical Engineering
- Psychology
- Humanities
- Arts and Literature
- Sports and Recreation
- Environment
- Linguistics
- Law
- Physics
- Philosophy
- Design
- 14 more »
- « less
-
growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
-
command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
-
successful candidate will be expected to develop a dynamic, externally funded research program that addresses key challenges in the areas of Dynamics Systems and Control. Successful candidates will contribute
-
controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this opportunity, see these two recent publications: https://doi.org
-
are in compliance with CSU and Campus requirements Provides financial research and financial analysis/modeling in a variety of matters including but not limited to the procurement of capital equipment and
-
at a pilot facility. The candidate will develop a simplified, control-oriented dynamic process model. This model will be used to propose control structures and analyze them. An available complex steady
-
minute system, and how this diversity is maintained remains a mystery. Theoretical ecologists explain diversity using models built with 'interactions', the impact of one species on the growth of another
-
and unsupervised machine learning models, including LLM-based classification and fine-tuning for domain-specific applications. Collaborate with faculty and research staff on data collection and analysis
-
modelling, microgrid technologies, and simulation-based research. Key Responsibilities Participate in and manage the research project with the PI, Co-PI, and team to design a robust mobile DC microgrid
-
- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns