Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
19 Sep 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Technology » Energy technology Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 26 Sep 2025 - 21:59 (UTC) Type of...
-
, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) . Project: AI Planetary Futures: Climate and environment in Silicon Valley's AI paradigm This project analyzes the climate and
-
motivated individual to pursue a PhD in the area of reliable conversational domain-specific data exploration and analysis. The prospect PhD student will join a research team in KTH led by Professor Aristides
-
two fully funded doctoral students to join our WASP-funded project on “Automated Software Verification with Expert-Driven Reasoning”, focused on developing the next generation of AI-assisted programming
-
descriptionThird-cycle subject: Chemistry Syrén's research group (www.syrenlab.com ) is recruiting up to two PhD students in de novo protein design. The project, which is funded by the NNF Research leader program
-
demonstrations of novel methods for temporal and spatial field manipulation and characterization, approaching quantum noise levels. The methods and associated components will have applications in the measurement
-
pathways. We now invite applications for a doctoral position focused on prospective life cycle assessment (pLCA) of these emerging CCU solutions. The project involves pLCA data and method development, LCA
-
demands. To improve care and expand access, there is a need for fast, efficient and resource-constrained computation models accessible for all clinicians and researchers. Deep learning methods applied
-
to developing technical methods such as natural language processing (NLP), large language models (LLMs), and critical visualization tools, while collaborating closely with community partners and organizations
-
on critical speed prediction and the influence of ground reinforcement techniques. Design and implement validation experiments using field measurements, including the assessment of ground improvement methods