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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) A new project area in the institute is the development of artificial intelligence (AI
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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(scientific) programming, and an affinity with network analysis in particular. You are able to work with very large data and have the creativity and curiosity to develop AI models for network analysis
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Programme Overview This PhD is part of the Engineering Hydrogen NetZero (EnerHy) Centre for Doctoral Training (CDT), a newly established EPSRC-funded initiative focused on advancing research and
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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/or physicochemical characterization such as IR, BET, TGA Knowledge of X-ray scattering, possibly pair distribution function (PDF) analysis High motivation for further training, independent and goal
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to probe metabolic states and function of control mechanisms. Analysis of strain performance and control mechanisms using computational tools (e.g., flux balance analysis, kinetic models, network component
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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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digital medicine use reminder technologies (RespiPlus) delivered in the community pharmacy setting for people with asthma or COPD. The PhD project will focus on components relating to a media and
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profiles include: - Geometry: differential geometry, algebraic geometry, tropical geometry. - Analysis: harmonic analysis and partial differential equations, functional analysis, spectral theory. The person