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Field
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single-cell level in the moss Physcomitrium patens. The project will combine cutting-edge approaches in developmental genetics, live imaging, and single-cell genomics. Research environment : The RDP
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preprocessing IoMT network traffic datasets. Implement and evaluate machine learning algorithms (e.g., logistic regression, SVM, random forest) for intrusion detection. Develop prototype software tools (e.g
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to join our team, which is working in close collaboration on the development of our real AI-based automated shuttle (see image) with Autoware -stack for deployment on public roads, while researching
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and indexing) carrying out data collection, data management and analysis (under supervision) performing research tasks within the area of classical archaeology, e.g. literature searches and image
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in vivo PD models (α-Syn oligomer injection, behavioral testing, MRI) and in vitro studies (primary neuronal cultures, molecular and imaging techniques), we will dissect the role of P2X7R in: oxidative
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, chemical synthesis, biomedical imaging. Experience in synthesis of nanoparticles, nanoformulations, surface functionalization, drug loading and release. Experience in cell culture and study of cell toxicity
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Information Eligibility criteria The candidate must: - Hold a PhD in microbiology or cell biology - Have significant experience in fluorescence microscopy: time-lapse, dynamic imaging, multi-channel, etc
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results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two
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the Neurocritical care unit and austere environments including space flight. The current project will require the candidate to obtain several ultrasound images, measure, and categorize them with opportunities to be
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the Neurocritical care unit and austere environments including space flight. The current project will require the candidate to obtain several ultrasound images, measure, and categorize them with opportunities to be