Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
controlling cancer cell biology. Your research focus will be on (1) the molecular mechanisms underlying the action of the oncoprotein MYC; or 2) the role of chromatin remodeling complexes in regulating access
-
for light trapping in thin-film solar cells .” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods
-
, for example, on elite network data, union data and measures of institutional embeddedness. The Fellow is expected to produce original research work from this data, delivering historical analysis of income
-
administrative data and identify the role of social power in the redistribution of income shares among salient social groups (e.g. workers, managers, owners and founders) drawing, for example, on elite network
-
, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
-
and 7 months to work on mitochondrial membrane protein complexes using structural biology methods, cryo-ET and STA. Expected start date and duration of employment The starting date is 1st February 2026
-
and 7 months to work on mitochondrial membrane protein complexes using structural biology methods, cryo-ET and STA. Expected start date and duration of employment The starting date is 1st February 2026
-
from 15th December 2025 or as soon possible thereafter. Job description This is a research position within a project focussed on quantifying small molecule concentrations in complex media (e.g. food
-
of complex microfluidic hydrogel networks, integration of micropumps for bubble-free aseptic perfusion, and non-contact mapping of multiple metabolites during tissue culture. You will be working on all aspects
-
can international regulatory and reporting standards reflect the actual environmental damage from AI use? What networks have been formed to influence regulation? How can we identify the ‘real cost