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Field
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expansion microscopy (ExM) into our existing workflow. The goal is to visualise serotonergic wiring at subcellular resolution across developmental stages, enabling analysis of how circuit assembly is altered
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on the use of new Lyapunov-based deep learning methods. Such development includes: ideation, mathematical development, Lyapunov-based analysis, executing simulations and experiments, and disseminating research
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, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least
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-viral gene delivery methods. Data Analysis and Interpretation: Rigorously analyze experimental data, interpret results, and present findings to internal research teams and at scientific conferences
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) through IND amendments. Post-opening of the trial, oversight of biomarker collection and analysis pertaining to pharmacokinetics, anti-drug antibodies and cytokine release will be necessary. Oversight
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, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc students. Secure research
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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advantages. The appointee will be responsible for conducting pre-clinical research and data analysis, co-ordinating and communicating analysis with collaborators, writing manuscripts and scientific
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and simulation tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction
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that relevant information and issues in the implementation of projects/experiments are captured in as comprehensive and timely manner as possible. Establish collaborative links with the core scientific personnel