53 multimodal-interaction-phd Postdoctoral positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable
-
from synchrotron experiments on deforming metals. About Us You will join an international and highly multidisciplinary team of approximately 5 PhDs and postdocs, fostering a strong collaboration between
-
expected to interact with and co-supervise those projects. Additionally, some teaching responsibilities can be expected. Candidates should have A PhD degree in chemistry, cell biology or immunology
-
, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable
-
want to hear from you! Responsibilities and qualifications The Postdoc positions address four exciting topics. For all positions, you will collaborate closely with a group of PhD students, postdocs and
-
quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between senior staff, PostDocs and PhD/Master students
-
Job Description Are you a skillful and ambitious PhD graduate interested in kicking off your academic career in a renowned research group leading in the field of thermodynamics with a strong
-
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
-
on gas-metal interactions and phase transformations as well as materials microstructure characterization. Your activities are related to externally financed research projects with academic and industrial
-
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