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understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, particularly by leveraging large language and vision
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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complex biological data into mechanistic insights with direct relevance for therapeutic and diagnostic innovation. The laboratory is based at one of the world's leading medical universities and promotes
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advanced data science, using state-of-the-art human stem cell models to uncover previously unrecognized environmental risk factors for Parkinson’s Disease. You will, in close collaboration with a PhD student
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: https://www.list.lu/ How will you contribute? This postdoctoral position is part of a large European project involving universities, research institutions, and industrial partners across Europe
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biostatistical methods to better personalize treatment of cancer patients from deep and diverse types of biomedical information. Analysis of large‑scale clinical, genomic, and molecular datasets. Development and
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. Weinstein (DTU Chemistry) to develop novel molecular ML methods and use them to control, steer, and learn from large scale wetlab experiments. You will deploy these methods in collaboration with Prof. Katrine
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biomedical research. Required qualifications PhD in bioinformatics, computational biology, systems biology, or a related field documented experience in omics data analysis, including bulk and single-cell RNA
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researchers. The group conducts large-scale registry-based research covering all aspects of drug utilization, effectiveness, and safety, using Danish nationwide health registries as well as international data
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Aarhus University is seeking three postdoctoral fellows for research on metabolic dynamics and pl...
environment of large scale syngas fermentation. The approaches include, but are not limited to, building reactor platforms for studying adaptive evolution, operating long-term adaptive evolution experiments