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PHD STIPEND IN DETECTION OF PEPTIDE-BASED PESTICIDES Apply Vacant position PHD STIPEND IN DETECTION OF PEPTIDE-BASED PESTICIDES Aalborg Deadline : 22.10.2026 Department: Department of Chemistry and
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barriers to achieving this, is figuring out how to learn useful patterns in the data without relying on exhaustive labelling. For example, in the anomaly detection setting, we often assume that only healthy
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machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph representation learning. Programming skills (e.g., Python) and experience with deep learning
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project aims to advance non-destructive, rapid, and highly sensitive hyperspectral methods for the detection, identification, and characterization of forensic traces, including fire debris, biological
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on developing and studying privacy-preserving methods, such as differential privacy, Bayesian privacy, federated learning and synthetic data. The aim is to enable meaningful analyses, such as
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semantic side channels. The research will be validated through real-world use cases such as cross-organizational knowledge sharing, confidential healthcare analytics, and collaborative threat detection
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content of the programmes is available here: https://www.aau.dk/uddannelser/bachelor/kommunikation-og-digitale-medier-aalborg , https://www.aau.dk/uddannelser/kandidat/informationsvidenskab , https
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Thomas Neumann, [email protected] for nærmere information. Se også Instituttets hjemmesiden om ph.d.-uddannelsen https://www.law.aau.dk/forskning/phd/ Ved bedømmelse af ansøgere lægges særlig vægt på
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focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en
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and services here: https://www.en.hr.aau.dk/relocation-support Aalborg University also offers Danish language courses to support international employees in settling into both the workplace and Danish