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/Administrative Internal Number: 495872 Department: Pharmacological & Pharmaceutic Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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management. Exchanges information with other departments or external contacts to perform role and achieve objectives. May coordinate own work with that of other work groups. Knowledge, Skills, and Abilities
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persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge
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microbiology and microbial-plant interactions. This individual will have in-depth knowledge of the microbial-plant interactions in realistic soil environments that experience drought, salinity and other
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determinants of health. The focus of this role is on cognitive decline and dementia, with an emphasis on: Applying epidemiologic, econometric, and other methods to strengthen causal inference Working with
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in
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skills/knowledge: Knowledge of photonic and/or superconducting materials and devices Experience with electron based spectroscopic techniques such as EELS, EDS or Cathodoluminescence. Background knowledge
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electrochemistry/electrocatalysis or materials chemistry. -knowledge about sonochemistry would be appreciated. - Solid experience in synthesis and characterization (physico-chemical and electrochemical
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knowledge of relevant machine learning and AI techniques Proven scientific excellence as evidenced by strong scientific publications and track record relative to career stage Strong programming skills (Python