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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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nationally and internationally through its website and other digital communication channels.. . Host entity and scientific supervision: The work will be developed at LIDA, under the scientific supervision
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Research Associate in Advanced Injectable Biomaterials to join Dr Ana Ferreira-Duarte’s group. This role contributes to a UKRI-funded programme developing next‑generation injectable, electroactive, naturally
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and development, supported by the Operational Program AlzHeal - Promoting metabolic homeostasis and neuroregeneration in Alzheimer’s disease with retinoid signalling (COMPETE2030-FEDER-00755200), in its
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–based, web-enabled decision-support tool for farmers, using machine learning (random forest) predictive models. Working closely with the PhD student and PIs to ensure rigorous model development
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presentations; - Have experience with SQL, data visualization tools, or web scraping Specific Duties: Under the direction of the Observatory and Centre leadership, the successful candidate will be expected
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responsible for obtaining informed consent from participants, research data collection and entry, maintenance of web-based research database and regulatory paperwork for research studies. Job Description: Job
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or equivalent Skills/Qualifications Development and implementation of quantum algorithms applied to biological networks of Alzheimer's disease. Design of gene perturbation models using Quantum Reinforcement
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the development and renewal of IRB protocols. Assist in IRB modification. Assist in data collection, data cleaning and data analysis. Schedule and recruit participants and conduct screening. Conduct literature
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, analysing or securing network services, including real-time communication infrastructures. Demonstrated programming experience in multi-language development environments, combining backend services, web