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preventive measures for non-communicable diseases. We work interdisciplinary to develop scientifically-based approaches to disease prevention and health promotion. BIPS maintains close partnerships with
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, spatial biology and AI/ML projects. We co-lead the Applied Bioinformatics MSc, run practical workshops, and we recently partnered with KCL’s Spatial Biology Facility , an advanced centre equipped for high
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research and evaluation studies; (b) assist in designing research tools such as questionnaires; (c) conduct data collection, processing and analysis; (d) prepare research reports and academic papers
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incorporates the use of Artificial Intelligence tools to evaluate and adapt knowledge management practices. The candidate will conduct systematic literature reviews, critical analysis, data collection through
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survival/event history analysis familiarity with Microsoft Office and specialist software (Stata or similar) English language proficiency sufficient for reading and writing academic texts (B2+) Polish
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days ago
and cast parameter/state/fractional‑order learning as an Expectation–Maximization (EM) procedure interpreted through a dynamical‑systems lens (e.g., fixed‑point/stability analysis of the EM iterates
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of Cambridge), the successful candidate will work in collaboration with Birmingham Tissue Analytics to use our in-house spatial microbiology imaging panel to localise and identify invasive bacteria. Platforms
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engineering or organic synthesis is desirable but not essential Competency in data analysis, plotting and interpretation, manuscript drafting Ability to work independently and in a team, excellent
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cross-species analytics, analyses of lncRNA expression in skin, and identification of systemic sclerosis-specific RNA species and use of cytokine and cell-specific expression signatures. This research
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expression in skin, and identification of systemic sclerosis-specific RNA species and use of cytokine and cell-specific expression signatures. This research uniquely involves both wet lab and dry lab