54 droplets-modelling Postdoctoral positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
reaction evolution mechanisms for magnesium-based binders, leveraging state-of-the-art experimentation and numerical modelling tools. This position is part of the prestigious Villum Synergy project
-
strategies for conventional HVAC systems that condition entire indoor spaces using existing thermal comfort models, which could improve the performance of existing buildings and HVAC systems. The work will
-
interdisciplinary team, you will break new ground at the absolute frontier of what is possible. Responsibilities Your overall focus will be to evolve and then engineer non-model autotrophic bacteria for expanded
-
language models (LLMs) for educational purposes. Furthermore, the right candidate has a deep understanding of pedagogical research, with focus on how educational processes can be facilitated by AI. The role
-
for industrial decarbonization with emphasis in system development, modelling, optimization and validation, and focus on: Develop thermally integrated storage and conversion systems, including Carnot batteries and
-
. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous
-
will support the long-term goal of helping constructing reasoning techniques to democratize and render transparent legal processes. As a postdoc in BPM, you are familiar with the role of process models
-
, through developing predictive models and new experimental methods and instrumentation, to design creative and cost effective CO2 trapping processes. The need is urgent, the task is challenging and a
-
–reactivity relationships at catalytic sites. Familiarity with advanced characterisation and modelling tools, such as in-situ/operando spectroscopy (e.g., DRIFTS, EPR, XPS, Raman), theoretical calculations (e.g
-
writing scientific papers. The developed models will be tested on data from energy investment models, as well as transport infrastructure problems. We will be an academic team of three PhD students and four