Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
catalysts for C–H activation, or Development of quantum chemical methods for transition metal systems, with a particular focus on methods for large, complex systems (proteins, enzymes, and condensed phases
-
26 Apr 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Section for applied power electronic systems Research
-
early-onset depression. The goal of this project is to harness big data to stratify risk for early-onset depression. The goal of the Danish work package, which is led by Dr. Katherine Musliner at the AU
-
interpreting large datasets using statistical programming languages (e.g. R, Python etc.) Proven independent working style, technical problem solving, data analysis and generation of novel ideas Proficient
-
for our power grids: large conventional power plants with synchronous generators are being replaced by small-scale renewable energy sources with flexible storage units, which are typically interfaced via
-
regularly publish at top ACM conferences and HCI journals, in interdisciplinary venues such as the Big Data & Society journal as well as across venues in the humanities and social sciences. Terms
-
description. The applicant must have excellent professional proficiency in English (written and spoken). Required: Strong knowledge of how to use AI and large language models (LLMs) for data extraction
-
advanced data science, using state-of-the-art human stem cell models to uncover previously unrecognized environmental risk factors for Parkinson’s Disease. You will, in close collaboration with a PhD student
-
of health care and treatment. A large number of projects in the department are carried out in cooperation with Danish and international collaborators. About the research project The position entails research
-
3 Apr 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for Human Centered Computing Research