48 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
development. You are able to learn self-motivated and independently and pursue new knowledge as needed. Openness and collaborative skills (e.g. humility & will to compromise). Effort-dedication to documenting
-
willingness to learn Your Skills and Attributes We hope you can tick off some of these: A structured approach to tasks The ability to juggle multiple tasks with ease A desire to contribute to the green
-
and daily operation of DALSA Coordinate and host scientific workshops at DALSA Develop and teach at automation courses offered by DALSA Our expectations of you A PhD in a field relevant to automation in
-
are applying for the position. If you wish further information about the position, please contact Simon Ringive at simri@dtu.dk or Phillip Yttung at phiyt @ dtu.dk to learn more. Applications
-
wish to learn more about DTU Skylab and the position then feel free to contact Team Lead Jonas Eliasson, joneli@dtu.dk , tel: +45 9359 6809 or contact Programme Manager Ida Bjerring Mehl, idabm@dtu.dk
-
Job Description Are you passionate about food and flavor? Eager to help tackle some of our most pressing global challenges? Excited by the idea of working and learning at the intersection of science
-
extensive opportunities to learn, innovate, and develop new technologies through projects and close collaboration with interdisciplinary teams across the biofoundry. Primary areas of responsibility Develop
-
working with biology and biotechnology in a lab setting. Possess in-depth knowledge of laboratory safety protocols and regulations. Are curious and proactive in learning new methods and gain new knowledge
-
DeiCs values and goals are at the forefront of what you do. Can communicate professionally in English. Being able to speak Danish is not a must, but you must be willing to learn Danish to integrate fully
-
of BRIGTH and ensures effective development and implementation of strain design procedures in our design-build-test-learn workflow using big data and data science. The Analytics team is part of