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equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
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processing and analyzing neural imaging data including calcium or voltage imaging. Techniques used in cellular and molecular neuroscience (e.g. optogenetics, cell patching, virus design). Documented experience
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local activation), multi-timescale adaptation (local memory), and stimulus-specific adaptation (multi-task processing). While the co-optimization of dendrite-inspired functional circuits with emerging
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Institute of Fundamental Technological Research Polish Academy of Sciences | Poland | about 2 months ago
smRNA FISH, live microscopy imaging) and theoretical approaches (e.g., data analysis techniques and information theory) to address the above questions. Currently, we are seeking a highly motivated PhD
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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, productivity, and overall operational stability of the process plants can be determined. This rigorous analysis will provide a clear picture of the flexibility potential and set the stage for implementing
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their scientific insights. All training is in English. The research The mission of our IMPRS is to study fundamental biological processes in plants and to create knowledge and material that can empower innovative
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The Department of Electrical & Computer Engineering (ECE) at The University of Alabama is recruiting motivated PhD students to join our cutting-edge research program.Qualified applicants can
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, Neuroscience, or a related field. Candidates should have strong skills in statistics. Programming skills (e.g., Python) and experience with PET or MRI imaging and data analysis are desirable. Furthermore
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for Real-World Optimisation and AI Applications Brain-Computer Interfaces & their Applications Computational Neuroscience: Reinforcement Learning and Microzones in the Cerebellum Explainable Generative