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., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) may be involved. Training will be provided in all methodologies but prior experience with some
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work environment spanning from biochemistry to marine ecology with a strong focus on experimental and hypothesis driven work. Importantly, a large part of the work will happen in close collaboration with
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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
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period of 24 months and is based at Aalborg University’s campus in Aalborg. You will be part of the research group Hydrogen and Electrofuels, which is placed in the section for E specialised in Thermal
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genetic engineering of the selected microorganism to increase its yield and robustness, followed by large-scale cultivation in a 100 L bioreactor. The post doc position is embedded in a larger
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management
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Quantitative proteomics workflows Development of LC-MS/MS methodologies Post-translational modification analysis Data-independent acquisition (DIA) approaches Large-scale proteomics studies Laboratory automation
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language processing and the use of (multilingual) large language models / transformer-based models. Experience with large-scale data collection (e.g., parliamentary speeches, manifestos, press releases, social-media
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8 Jul 2026 Job Information Organisation/Company Aalborg Universitet Department Faculty of Social Sciences and Humanities, Department of Society and Politics Research Field Criminology Researcher
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10 Jul 2026 Job Information Organisation/Company University of Southern Denmark Department Faculty of Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions