Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
. The period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Mayank Jain, maja@dtu.dk , +45 4677 4909
-
22 Aug 2025 Job Information Organisation/Company Copenhagen Business School Department Department of Strategy and Innovation Research Field Economics Researcher Profile Recognised Researcher (R2
-
or pedagogical qualifications. Reference letters and/or contact information for references. Link to GitHub. Any other documentation highlighting relevant qualifications for the position. UPLOAD GUIDE: Motivated
-
. Further information Further information may be obtained from Navid Ranjbar, e-mail naran@dtu.dk . You can read more about the Department of Civil and Mechanical Engineering at www.construct.dtu.dk . If you
-
This post is partly funded by the ‘ADD – Algoritmer, Data & Demokrati’ project funded by the Velux and Villum Foundations. This project is led by Professor Nørholm Sine Just at Roskilde University
-
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
-
: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
-
tissues and explore potential links with genetics and macromorphological characteristics. To this end, we will employ collection and analysis of tomographic data using state of the art synchrotron 3D
-
candidate with strong methodological skills within coastal experimental laboratory work. You need to be able to work independently in the lab and take decisions on experimental setup and data treatment in
-
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