Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Aalborg University
- Nature Careers
- University of Southern Denmark
- ; Technical University of Denmark
- Copenhagen Business School
- Copenhagen Business School , CBS
- Technical University Of Denmark
- ;
- ; University of Aarhus
- Aarhus University
- Geological Survey of Denmark and Greenland (GEUS)
- University of Copenhagen
- 3 more »
- « less
-
Field
-
perspective– the consequences of developing new methods for valorizing aquatic biomass in integrated value chains, from primary production to processing into innovative products and services. The main challenge
-
related programming and hardware circuit skills. This, as well as to research proper methods for educating teachers to apply knowledge, competences, and skills needed to conduct and develop effective and
-
Demand Flexibility in Buildings”. The PhD candidate will be supervised by supervisors from DTU and Chalmers. This project will integrate energy technology, building physics, HVAC systems, and computer
-
at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace. Read more about The
-
in collaboration with Aarhus University Hospital (AUH) and the regional hospitals in the Central Denmark Region. You will be working at the Department’s Center for Functionally Integrative Neuroscience
-
the scientific area of biomedical and neural engineering together with basic and integrative neuroscience within the CNAP research groups. You hold a master’s degree in in biomedical engineering, neuroscience
-
by Printing and etworked Robots” (AM2PM). The goal of AM2PM is to develop and experimentally validate a complex digital infrastructure that integrates sustainable material design, computational
-
hires, ensuring the safety, compliance, and integrity of the workplace. Read more about The Technical Doctoral School of IT and Design Salary and terms of employment The employment is in accordance with
-
, and optimizing ionization conditions. The ultimate goal is to integrate key negative ion mode features into computational workflows for enhanced proteome analysis. Refine bacterial lysis methods
-
integrating machine-learning techniques with experimental datasets on bioplastic degradability. You will work to establish links between polymer features and degradability through mapping of existing data