Sort by
Refine Your Search
-
contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
-
research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
-
of machine-learning algorithms for unmanned aerial vehicles; dissemination of the results in international conferences and journals; proposal writing for external funds. Your profile The successful candidate
-
was established at the Department of Biomedicine at Aarhus University, with the aim to explore the interplay between genetics, epigenetics and non-coding RNAs in the development and progression of cancer. We have a
-
fluorescence spectroscopy. Jobdescription The postdoc will first incorporate donors and acceptors by a genetic code expansion approach, introduction of free cysteines and insertion of peptide tags for labelling
-
human and animal tissue for genetic, molecular and analytical analysis and will be working in hospital environment, animal facilities and research laboratory with microbiology and histology focus. Your
-
. Close collaboration with our neighboring Departments (Mechanical Engineering, Electrical & Computer Engineering, Molecular Biology & Genetics, iNano, Biosciences, Food, Agroecology, and Chemistry) is a
-
single-cell sequencing, genetic perturbation, and advanced spatial methods (including smFISH, light-sheet imaging, and whole-brain clearing). This project builds on our expertise in gene regulatory
-
cancer or relapse to identify genetic alterations that may be targetable with novel drugs. A main component of this project will be to characterize the genomic and transcriptomic landscape of our patient