Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
diffraction and fluorescence techniques in the investigation of structure–reactivity relationships. Performing and analyzing electrocatalysis experiments using gaseous reagents and/or products. Analytical
-
of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and apply machine learning
-
) and cell culture Strong analytical, organizational, and documentation skills High level of motivation, creativity, and ability to work in a collaborative and multidisciplinary team Preferred
-
electrical and computer engineering for real-world, large-scale applications. The NAN group has strong expertise in wireless networks, routing, network security, data analytics, and cooperative multi-agent
-
. Specifically, the pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations
-
: Operator Algebras, Machine Learning, Analytic Number Theory, Automorphic Forms and Representation Theory Appl Deadline: 2025/10/10 11:59PM (posted 2025/09/10, listed until 2025/10/10) Position Description
-
of questions, data, and analytic methods involved (1 page) a CV official documentation of a PhD degree or its equivalent a full list of publications two writing samples, at least one of which should be published
-
to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
-
epigenetic mechanisms of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and
-
, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research