89 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"M.V" PhD positions in Denmark
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uncertainty and complexity. The PhD student will have the opportunity to leverage data and expertise from the megawatt-scale HPP research facility at Risø Campus, significantly enhancing the practical relevance
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Cooling systems are essential for modern society - from server rooms and data centers to food storage and thermal comfort - yet they are also large energy consumers. This PhD project aims to make
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transcriptomic data, you will identify protein signatures linked to tumour aggressiveness and metastasis and define multiomic biomarkers for improved cancer detection and patient stratification.\ You will join the
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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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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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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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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Job Description Shape the Future of Energy - Help Redesign How We Store and Use Cooling Cooling systems are essential for modern society - from server rooms and data centers to food storage and
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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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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