Sort by
Refine Your Search
-
explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
-
experimental research in nanoparticle catalysis using advanced operando electron microscopy This collaborative PhD project between Technical University of Munich (TUM) ( the group of Prof. Barbara A.J. Lechner
-
programme, please see DTU's rules for the PhD education . Assessment The ideal candidate will have solid background in experimental molecular biology combined with experience with microbial protein production
-
and systems. Your PhD project will result in scientific publications and experimental validation of your results. You will present at international conferences as part of your research training, and you
-
more information for a given experimental budget. Efficient active learning depends on the careful co-design of experiments and inference algorithms. You will explore topics such as how to elicit
-
helping your colleagues. The group is part of the Section for Experimental and Translation Immunology at the Department of Health Technology . Our section has all the necessary infrastructure and comprises
-
experiments and analysing data. Design and perform cultivation in bioreactors. Writing peer-reviewed scientific publications. Actively interacting and collaborating with other partners involved in the project
-
. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale modelling, preferably WRF Experience of scientific programming and running code on HPC systems
-
, experience in working with cell cultures or in vitro test and/or the Environmental Assessment of Chemicals. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level