Sort by
Refine Your Search
-
science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life
-
DTU Compute is a unique and internationally recognized academic department with approx. 400 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science
-
, Denmark Job Description Are you looking to grow your career in Cyber-Physical Systems and the Computing Continuum? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
-
), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance. Section for Cognitive Systems
-
of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance. Section for Cognitive Systems
-
Skip to main content. Profile Sign Out View More Jobs Postdocs (2) in Generative Modelling with Applications to Physical Systems and Life Science - DTU Compute Kgs. Lyngby, Denmark Be the First to
-
are looking for a Postdoctoral Researcher who wants to join the Cybersecurity Engineering (CSE) section at DTU Compute. The successful candidate will work on a strategic project in collaboration with the Centre
-
candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. DTU Compute is Denmark's largest environment for mathematics and computer science. DTU Compute's
-
Computing for the Connecting Communities Group, in the Section for Dynamical Systems (DynSys) at Department of Applied Mathematics and Computer Science (DTU Compute) at DTU (Technical University of Denmark
-
PhD scholarship in supramolecular and bioorganic chemistry to explore new ways of exploiting enzymes for chemical synthesis. PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute