185 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
innovations in the bio/pharma domain can be translated into industrial, commercial, or societal value. Information about the course can be found in the DTU course catalogue: https: //kurser.dtu.dk/course/22179
-
may be obtained from Professor Jacob Ladenburg, jlad@dtu.dk :, Phone 45 42493610 https://orbit.dtu.dk/en/persons/jacob-ladenburg/ . You can read more about the Department of Technology, Management and
-
, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and
-
program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information If you would like additional information about the position
-
. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment An assessment of the applicants will be made by
-
Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
computational determination of thermophysical and physical–chemical PFAS properties. PFAS molecules are defined by the presence of CF₂ or CF₃ groups and exhibit a wide range of unique characteristics, including
-
of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
-
the position, please contact Professor and Head of Research Group, Rene Hendriksen on +45 2245 0763. More information about the EURL-AMR can be found at our website: https://www.food.dtu.dk/english
-
with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
-
colleagues that are very strong in AI and computational modelling of energy materials, and we are building labs for autonomous materials development. Large facilities, such as synchrotron and neutron