Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
-
about career paths at DTU here . Further information Further information may be obtained from Professor Yifeng Zhang (yifz@dtu.dk), and the section head Wenjing (Angela) Zhang (wenz@dtu.dk). You can read
-
file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Letters of recommendation or alternatively contact information to references
-
, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses on regulatory
-
. Further information Further information may be obtained from Professor Christian Niordson,, tel. +45 4525 4287. You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk
-
, proteomics, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses
-
livable with a green-banked meandering river cutting through the center, and attractive residential areas. For further information about the position, please contact the Head of Digital and High-frequency
-
to: Collect data through e.g. literature studies regarding the raw materials to be used Perform data analysis and interpret results from chemical and microbial analysis of the raw materials Carry out product
-
employment is 1 year. Starting date is 01.10.2025 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further
-
internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering