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- Hannover Medical School •
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utilizing human cell cultures (2D and organoids), advanced fluorescent imaging, live imaging, FACS, RNAseq + bioinformatic analysis, Click-IT technology, RT-qPCR, Western Blot, and possibly animal experiments
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doctoral project is embedded within the Faculty of Pharmaceutical, Biomedical and Veterinary Sciences of the University of Antwerp and the Brussels Center for Immunology at the Vrije Universiteit Brussel
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project to study tissue-resident macrophages in neurological disorders. This collaborative doctoral project is embedded within the Faculty of Pharmaceutical, Biomedical and Veterinary Sciences
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We are seeking a talented and motivated graduate in biomedical engineering, mechanical engineering, or biophysics to join our multidisciplinary research team as a Research Scientist/Engineer. This is a
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, the concept of a cross-university PhD programme involving non-university institutions was developed to enable the combination of different scientific and technological disciplines relevant to biomedical data
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., product design), or engineering discipline (chemical or biomedical engineering). Experience with qualitative research methods (e.g., ethnography, qualitative interviews, focus groups, or participatory
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closely related field Strong background in analog and mixed-signal CMOS circuit design Familiarity with biomedical signal acquisition (especially EEG) is highly valued Experience with standard IC design
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include: CMOS-based neuron and synapse circuit design Low-power digital architecture for SNN processing On-chip learning mechanisms Integration with sensor interfaces for biomedical signal processing What
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 1 day ago
/content The Joint Research Academy in Biomedical Engineering and Science of Hearing and Sensory Systems (JRA) is a joint project of the University of Oldenburg, Hannover Medical School and Leibniz
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vast amounts of short, irregular biomedical time-series data, including physiological signals, lab results, and interventions. These data hold great potential for supporting high-stakes, complex decision