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. Responsible for: Leading the optical and mechanical design of the microscope; integrating adaptive-optics modules, beam-shaping elements and bespoke detectors; developing synchronous control and lifetime
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Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees
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, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold, -- systems and control theory, -- algebraic computation theory and cryptography. The position is for two
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under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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. Background information The urinary bladder plays a crucial role in storing and releasing urine, controlled by complex neural pathways. As the bladder fills, sensory signals arise in its wall and inform
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application of advanced AI models to AV systems. Minimum Qualifications Candidates must meet the following requirements: A Ph.D. in a relevant field such as Artificial Intelligence, Automated Vehicles, Control
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powerful tool for studying biomolecular interactions, nanoparticle assembly, and other structural changes in real time. Microfluidic devices enable precise control over rapid mixing, optimised sample
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for quality control, supervision of data entry/data analysis, analysis of research hypothesis using descriptive and multivariate statistics, and the development of independent and collaborative presentations
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production for lithium-ion batteries, ii) understanding and controlling interfaces for lithium-metal batteries, and iii) synthesis and characterization of catalysts for plasma-assisted catalysis. Research
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
, Python, Unix/Linux command-line tools, and workflow automation Profound understanding of the relevant metrics and methods to analyze microbial communities and functions and their spatio-temporal patterns