Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
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
-
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
-
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
-
scientific software including Matlab and Python for quantitative image analysis, and treating large datasets. Cell culturing, handling, and use for live cell fluorescence microscopy imaging. Molecular biology
-
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
-
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
-
in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
-
(lubricants, gear oils etc.) from machinery like wind turbines. When we want to remove oil droplets, we need them to merge (coalesce) as big drops are easy to remove. Surfactants can either promote or hinder
-
24 Oct 2025 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Chemistry and Bioscience, Chemical and Bioengineering Research
-
outputs in lidar technology and real-time wind-field reconstruction. Expert in wind turbine response analysis. HAWC2 user expert. Demonstrated expertise in data analysis and signal processing with large