Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
or interior architecture; OR a bachelor’s or master’s degree in interior design or interior architecture AND a PhD in a related field by appointment start date. Potential to develop and teach
-
, software technology and engineering, robotics, and artificial intelligence. The research environment is part of broad research programmes such as ELLIIT ( https://elliit.se ), WASP ( https://wasp
-
doctoral or PhD degree in Architecture (if qualified abroad, please provide a Transcript of Record, with a translation into German or English where necessary) As the post involves research within the
-
alongside faculty, software engineers, PhD students, and PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly
-
Inria, the French national research institute for the digital sciences | Montbonnot-Saint-Martin, Rhône-Alpes | France | 10 days ago
in top tier conferences and journals Produce high quility open-source software Participate to the research community (participation to conferences, workshops, etc) Where to apply Website https
-
overpotential; energy efficiency; cycle behaviour and degradation; influence of electrode architecture and coating morphology. A particular objective will be to identify the appropriate level of model
-
scientific and technical requirements into implementable specifications and coordinate development with software engineers, data scientists and infrastructure teams Contribute to technical architecture
-
NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | about 2 months ago
countries. The Department of Architecture and Planning is one of four departments in the Faculty of Architecture and Design Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/306712/phd
-
includes delivering courses and teaching in e.g. programming, algorithms and data structures, software systems architecture, use of AI, data acquisition and fullstack software-development. Following the
-
language models (LLM-D), ultra-lightweight AI agents (e.g., PicoClaw), PyTorch, Keras, or TensorFlow or others. Solid understanding of edge intelligence, explainability, and software architecture