Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of programming languages. The ideal candidate has an MSc in Computer Science or Mathematics and experience in one or more of the following areas: Theory of programming languages. Logical methods in
-
for the efficient formation of high-value compounds. Advanced NMR methods and computational data analysis will be compounded to devise novel reactions towards pharmaceutical precursors, polymer building blocks and
-
conversion reactions. The second position is focused on modelling stability of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods
-
offer Joining our team will provide you with numerous benefits, including: The opportunity to explore completely new regimes of physics and information, both theoretically and experimentally
-
teamwork with other local consortium members in the capital region of Denmark and with parallel international collaborators in the UK. In addition, collaboration with other NIVI-R human challenge sites will
-
well as abroad. To support your success, you will have access to DTU National Food Institute’s excellent laboratory facilities. Your overall focus will be to assess if the current biocide assessment methods based
-
(particularly for packaging), and analytical techniques Experience in packaging processing technologies (e.g. extrusion, Injection, compression molding, others) Familiarity with relevant methods such as
-
application phases. This will involve toxicological testing (e.g., cytotoxicity, mutagenicity) and evaluating microplastic release and ecotoxicity using standardized and novel methods (in collaboration with a
-
Policy Implications and Recommendations Case Studies of Successful Innovation Funding Methods The project will employ a combination of methods, including machine learning (ML) and generative AI (GenAI
-
doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design