73 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Technical University of Denmark
Sort by
Refine Your Search
-
, analytical chemistry, neuroethology and collective animal intelligence to develop predictive models on honeybee behaviour in response to chemical cues. If you care about biological diversity, sustainable
-
operate experimental facilities (electrolysis, PCM, BESS, etc.) and develop tools related to PtX testing, modelling, control, and energy system integration Co-supervise BSc, MSc, and PhD students and
-
this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
-
potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
-
Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
-
this postdoc position, along with an additional postdoc and one PhD position, we will tackle this grand challenge by fabricating and studying electrocatalysts with three-dimensional active site structures. With
-
production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
-
. Supervise BSc, MSc, and potentially PhD student projects that are relevant to your research Contribute to teaching courses relevant to your project at the department Expand our current data infrastructure
-
Job Description Are you worried about the coastal regions in an era of climate change and plastic pollution? Do you want to play a part in the development of a novel numerical model that can shed
-
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