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Description Industrial PhD: Application of artificial intelligence and data analytics to the optimization of industrial processes Where to apply E-mail doctorats.industrials.recerca@gencat.cat Requirements
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analytical and quantitative skills, including proficiency in statistical software (e.g., Python, R). Demonstrated interest in climate change, sustainable finance, and corporate sustainability. Strong written
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energetic constraints on circuit function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics
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technology, computer-aided design, microfabrication and ‑fluidics, culture of human cells, analytical cell and molecular biology techniques, and bioimaging methods. Analytical and proactive – You combine sharp
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analytical skills, initiative, inventiveness, curiosity, diligence, and critical thinking. Ability to work with scientific and industrial partners. Strong communication skills (high English proficiency), team
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We are looking for a strong, motivated PhD-student with an analytical, algorithmic background who is interested in pursuing a PhD-project devoted to the allocation of donor organs to patients. The goal
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, and a solid understanding of numerical analysis and familiarity with the use of analytical tools. They should also have knowledge and experience in parallel coding and spectral methods. They must have
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photonics, electromagnetism and computational optics. Strong analytical and experimental skills are essential. Proficiency in Python / MATLAB programming is desirable, and motivation for experimentally
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(IPHC, UMR 7178) on the CNRS campus of Cronenbourg, in the north of Strasbourg, within the SynPA team (Synthèse pour l'Analyse) of the analytical sciences department. The working group consists
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36 enthusiastic researchers to exploit the unique and transversal capabilities of analytical research infrastructures in tackling the challenges associated with sustainable development and industrial