Sort by
Refine Your Search
-
. You will be part of a dynamic research team and contribute to a European research project focused on assessing the health impacts of innovative food products. Your key responsibilities will include
-
. The funding body is the Novo Nordisk Foundation. In parallel with research, you have the opportunity to take part in innovation activities with Copenhagen Microsystems , and this could be up to 20% of your time
-
from empirical genomic metrics. You will be part of a Novo Nordisk Foundation-funded project aimed at bridging the gap between genomics and conservation risk assessment, and will work closely with
-
plan and conduct most of your research independently, but at the same time, you will be part of a larger, team-driven project, and should find this exciting. You should be scientifically curious and
-
protein content and functional properties for novel plant-based foods. This position is part of a larger collaborative project, Yeast-Based Ingredients for Sustainable Food Production (YBIS), funded by GUDP
-
Technological Institute (DTI), and the University of Porto Supervise and mentor junior researchers and students Contribute directly to innovation in the green transition and circular economy Be part of a vibrant
-
Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
layers Characterizing materials mechanically and chemically Performing electrode and cell testing with a view on activity and durability Co-supervision of BSc and MSc student will be an integral part of
-
contaminants in the food chain. As part of our role as the EU Reference Laboratory for Processing Contaminants (EURL-PC), we contribute to shaping future food control systems by improving and harmonizing
-
tech university spinouts. The postdoc position is part of the UNIVERSE (UNIVersity Ecosystems’ Role in & Support for Entrepreneurship) initiative, and will contribute to a growing body of research at DTU
-
learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a