Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
, environment and pollution, including drawing on long-term monitoring datasets, multidisciplinary field campaigns, and/or advanced modelling approaches Publishing in high-impact, peer-reviewed international
-
primary responsibility will be to carry out high-quality research within data-driven and model-based manufacturing systems engineering. You will work on developing innovative concepts and methods
-
, precarity, sustainability and changing business models. Media, formats and innovation in CCI: Research on emerging media forms and formats, such as podcasts, streaming formats, immersive and interactive media
-
prioritisation, and alignment across teams, while fostering a collaborative and performance-driven environment. You will play a key role in shaping how life science innovations move from research to real-world
-
activities may include first-principles simulations, electronic-structure theory, computational electrochemistry, multiscale and phase-field modelling, data-driven and AI-assisted materials modelling, and
-
(Associate Professor level) in the field of live-cell in vitro modelling of Parkinson’s disease as per 1 January 2027 or as soon as possible thereafter. The position is a 5-year, full-time position, with
-
methodological innovation and applied problem solving, including novel AI algorithms, hybrid AI-OR techniques, generative and predictive modelling, data-driven optimization, and intelligent decision-support
-
intrapreneurship Strategy Strategy in AI-driven and platform markets; Geopolitics, friend-shoring and strategic resilience; Sustainability-driven business model transformation; Strategic foresight and scenario
-
motivated postdoctoral researcher to contribute to the research projects RE:circulate and PROLONGing, both funded under Innovation Fund Denmark’s mission-driven initiatives within circular plastics and
-
. The main activities include: Designing machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread