103 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at Aalborg University
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leading the establishment of a centralized repository for genomic data and metadata, with a strong emphasis on existing and novel methods for the evaluation of genome quality, indexing and clustering
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Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC: Linguistically Motivated Language Model Security”). Your work tasks As a PhD student, you will conduct
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group, which covers a broad range of geodetictopics like satellitegeodetic and Earth observation (EO) data assimilation, precise GNSS positioning, and surveyingtechnology. Research Profile Wearelooking
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at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You can read more about the
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dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental
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learning methods that leverage the unique properties of SAR data. Develop a foundation model pre-trained on large Synthetic Aperture Radar (SAR) datasets. Demonstrate the practical utility of the foundation
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at www.es.aau.dk. Your work tasks This PhD project is part of a bigger Novo Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic Disentanglement of the Exceptional
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should have a strong experience with experimental setups including design, planning, commissioning and testing, especially with hydraulic fluid power systems. You should be proficient in data handling and
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Postdoc in Environmental Genomics and Microbial Biogeography Do you want to work towards pushing the limits on data and metadata integration for metagenomics globally? And do you see yourself as a
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experiments, integrating experimental data collected during loaded magnetic resonance imaging scans of the human knee joint with the ex vivo findings. By working with in vivo models, you will contribute