70 process-engineering Postdoctoral positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
unique dataset and generate real-world impact through science-based advice for universities, policymakers and innovation funders? At DTU’s Centre for Technology Entrepreneurship (DTU Entrepreneurship), we
-
Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 30 September 2025 (23:59 Danish time). Applications must be submitted
-
, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 20 August 2025 (23:59
-
his peer network, including at the Massachusetts Institute of Technology (MIT) and elsewhere in the US, Europe, and Asia. Salary and terms of employment The appointment will be based on the collective
-
optics and a Ph.D. in physics, quantum information science, or a related field. Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related
-
glycoproteins essential for the health of mucosal surfaces. Our goal is to leverage cutting-edge mRNA technology to induce mucin overexpression in vivo, opening new therapeutic avenues for diseases linked
-
in working with environmental sampling at Danish utilities. Applicants can have a background in chemistry, environmental sciences and engineering, or related fields, who have practical experience from
-
Physics at https://physics.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online
-
fundamental biological questions related to microbial biofertilizers, aiming to support their efficient engineering and application. In this role, you will help develop and implement new technologies critical
-
will benefit from Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge