Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Copenhagen
- Aalborg University
- Aalborg Universitet
- Nature Careers
- University of Southern Denmark
- Technical University Of Denmark
- Aarhus University
- COPENHAGEN BUSINESS SCHOOL
- Copenhagen Business School
- Danmarks Tekniske Universitet
- NVIDIA Denmark
- 2 more »
- « less
-
Field
-
the future of programming education at AAU. By working within live teaching environments, the candidate will gain firsthand experience with pedagogically driven AI innovation, local LLM infrastructure
-
degree in architectural engineering, civil engineering or a related field. Candidates with experience in areas such as building performance simulation, environmental sensing, data mining, and statistics
-
30 ECTS points. Participating in active research environments including a stay at another research team. Obtaining experience with teaching or other types of dissemination related to your PhD project
-
to the PhD project Relevant publications Relevant work experience Other relevant professional activities Curious mind-set with a strong interest in molecular genetics and biochemistry Good language skills
-
equivalent academic level. Furthermore, the ideal candidate has: Knowledge about Human Nutrition Good communication skills in English, both written and oral Experience with international collaboration and the
-
of your project We are looking for the following qualifications: Professional qualifications relevant to the PhD project Relevant publications Relevant work experience Other relevant professional activities
-
experience are prerequisites. Experiences with archival fieldwork and/or public dissemination (e.g. podcast) is an advantage. Applicants, who wish further information about the position and the research
-
Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
-
communication skills in English are essential. Prior expertise in architecture is not required. Experience with HCI research, digital prototyping, and/or AI tools is an advantage. Qualification requirements PhD
-
engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in programming, e.g