136 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" "Univ" positions at Aalborg University in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
data availability and design parameters. Importantly, the AI implementation should act as a facilitator of creativity, enhancing, and inspiring the early design phase rather than constraining
-
will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You
-
is used to identify stakeholders of DSM in Norway, Greenland, and Denmark, and collect, codify and analyse data on stakeholders’ communication and representations of the Arctic Deep Sea. Field visits
-
welcome to contact Head of Research Group and Professor Lone Kørnøv,+45 2310 4448, lonek@plan.aau.dk You will also find contact persons at the bottom of the jobpost. Further information Read more about our
-
charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
-
The project may address national or international problems, and should do so using appropriate methods, qualitative and/or quantitative. Access to Danish data sources, such as registry data, respondents
-
are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates
-
? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment
-
workplace here You can read more on Department of Sustainability and Planning here You may obtain further professional information from Associate Professor Troels Krarup, e-mail troelsmk@plan.aau.dk or phone
-
dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental