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are open: Optimization under decision-dependent uncertainty (contact Giovanni Pantuso, gp@math.ku.dk ) Monte Carlo methods for high-dimensional statistics and machine learning (contact Jun Yang jy@math.ku.dk
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employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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to: Gas sensor selection and characterization Embedded system integration Mechanical design (CAD) and 3D printing Data collection and analysis Basic machine learning for sensor data interpretation Start
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
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Molecular Biology, University of Southern Denmark, Odense, Denmark The position is for 3 years and is available from February 1, 2026. Role and Responsibilities Use protein design concepts and deep-learning
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obtainable using the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. Furthermore, the postdoc will aid in
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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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obtainable using the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. This postdoc position will utilize
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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