Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Foundation RECRUIT grant ("Data Management, Algorithms, & Machine Learning for Emerging Problems in Large Networks – with Interdisciplinary Applications in Life & Health Sciences". NNF22OC0072415
-
Experience with writing scientific publications Experience in working with contaminants like PFAS, PCBs and mercury, fatty acids, stable isotopes and modelling in R A talent for working with large data sets
-
sensing and responding to the chemical landscape surrounding them as well as the chemical signals inside of them. This project is devoted to gather large data sets to investigate links in olfactory receptor
-
the ERC Starting Grant research project “Exploiting Nanopore sequencing to discover what microbes eat (NanoEat)” with the aim to combine state-of-the-art metagenome sequencing with state-of-the-art data
-
Experience with writing scientific publications Experience in working with contaminants like PFAS, PCBs and mercury, fatty acids, stable isotopes and modelling in R A talent for working with large data sets
-
25 Oct 2025 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for DATA Research Field
-
to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Stephan Sylvest Keller, DTU
-
to vastly improve our ability to recover microbial genomes from metagenomes. Specifically, we aim to take advantage of the vast amount of high-quality long-read data that is readily obtainable using
-
. Specifically, the pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations
-
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