275 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions in Denmark
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the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. The postdoc will be part of the Microbial Metagenomics group
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, modelling and machine learning to improve defect detection, classification and power loss simulations. Benchmarking field-acquired images with laboratory measurements. Publishing results in leading journals
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handling robot, and running our Illumina NovaSeq instrument and other instrumentsrelated to NGS e.g., qPCR machine and Fragment Analyzer. In addition, you will be involved in supporting the research projects
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on the development of AI models for analysis of cardiac CT scans, with the aim to explore how machine learning models can quantify cardiovascular disease and predict future events from CT scans. The project will
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, and Maintenance Software Reliability Engineering Systems Engineering Model-Driven Engineering Modeling, Simulation and Data Analytics Human-Computer Interaction and Design Interactive Systems
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Bioinformatics Staff Scientist at the Center for Adipocyte Signaling (ADIPOSIGN) (Academic Employee)
for exploratory data analysis and data sharing Experience in Machine Learning would be desirable Passion for complex data visualization and representing data into interpretable figures. Ideally at least one major
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high-throughput reactor systems, combined with the implementation of a visionary data management strategy, will provide a unique environment for data-rich research supported by machine learning and AI
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relevant field. In-depth knowledge and experience with advanced data processing and statistical analysis in R; knowledge and experience in spatial modelling, machine learning, or computational methods
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. Interdisciplinary collaboration is central to our culture. BCE maintains strong partnerships across Aarhus University, including with the Departments of Mechanical Engineering, Electrical and Computer Engineering
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Biological Learning Machine, which is headed by Professor Jan Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and spatial patterns of synergy and