179 data-"https:"-"https:"-"https:"-"https:"-"https:"-"RMIT-University" Postdoctoral positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
a focus on metabolomic and transcriptomic data. Performing tissue sectioning, matrix coating of the resultant sections, data acquisition using a Bruker TimsTOF MALDI-2 instrument and downstream
-
training pipelines using modern ML frameworks Generating data on miBd–pMHC interactions to guide iterative model optimization, espeicially for specificity Benchmarking AI-designed recognition modules against
-
data and offers a broad range of online and in-house bioinformatic pipelines for analysing bacterial and viral genomes and metagenomes. The group has already back in 2013 developed a bioinformatic
-
how geometry- and data-driven digital twins of wireless environments can support learning, inference, and coordination in physical AI systems such as robots, vehicles, or distributed sensing platforms
-
validation in rodent migraine models Close collaboration with computational protein engineers and clinical researchers Data analysis, manuscript preparation, and supervision of students where relevant
-
The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position in practice-based
-
generation Developing and optimizing generative models for de novo minibinder design Integrating structural biology data into AI pipelines for receptor–ligand interaction modeling Fine-tuning large protein
-
here . Further information Further information may be obtained from Prof. Marcel A.J. Somers (majs@dtu.dk ). You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk
-
at DTU here . Further information Further information may be obtained from Senior Researcher Dennis Christensen, dechr@dtu.dk , +45 20961946. You can read more about our department DTU Energy at
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data