Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- INESC ID
- UNIVERSITY OF SOUTHAMPTON
- University of British Columbia
- Dana-Farber Cancer Institute (DFCI)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Max-Planck-Institut für Bildungsforschung
- National University of Singapore
- Tohoku University
- UiT The Arctic University of Norway
- Universidade de Coimbra
- University of Aveiro
- University of Birmingham
- University of Birmingham;
- University of Idaho
- University of Inland Norway
- University of Southampton;
- Western Norway University of Applied Sciences
- 8 more »
- « less
-
Field
-
to) • AI4SCI, with an emphasis on atomic systems such as molecules, proteins, and materials • Modern energy/entropy based learning • LLM/Agent for science • Related safety issues in AI4SCI Dr. Bian
-
Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and
-
Role Summary We are seeking a motivated postdoctoral researcher to join the Motivation and Social Neuroscience lab (https://www.msn-lab.com) led by Prof. Matthew Apps. The lab studies the cognitive
-
(potentially based on AI agents) capable of coordinating both tools, deciding when to trigger drone inspections, and synthesising maintenance recommendations with precise spatial localisation. BINDING
-
project, aims to contribute to the development and preclinical evaluation of new platinum-, palladium-, and nickel-based anticancer metallodrugs, using metabolomics approaches based on Nuclear Magnetic
-
Social Neuroscience lab (https://www.msn-lab.com) led by Prof. Matthew Apps. The lab studies the cognitive, computational and neurobiological basis of motivation and decision-making in healthy young adults
-
itself where code is increasingly being automatically produced by GenAI-based coding co-pilots and agents. Considering the pivotal and increasingly critical role of software in society, the prospect
-
optimization will be explored to improve service routes (for instance waste collection) operation supporting the adoption of a route planning based on dynamic routes as opposed to the traditional blind
-
, hydrologic modeling, or energy systems modeling (e.g., ParFlow, WEPPCloud, agent-based models) Proficiency in scientific programming languages (e.g., Python, R) and geospatial tools (e.g., ArcGIS, QGIS
-
range of methodological approaches is relevant for the theme, including qualitative case studies, optimization models, system dynamics modelling, and agent-based modelling. Please note that the project