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Field
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Experience using Python and/or VEX for procedural or technical-art workflows. The ability to develop, test and evaluate working software prototypes. Practical experience with relevant AI or machine-learning
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assurance, requirements analysis, and software testing. Publishing research results at leading conferences and in peer-reviewed journals in the fields of software engineering and artificial intelligence
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software developers to integrate data‑driven models with mechanistic or physics‑based models and domain expertise; showing thought leadership on applying data & AI-solutions in the food & biobased domain
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 14 days ago
geochemical, hydrogeological and geophysical investigations. Well-characterised SGD sites in the Baltic Sea will serve as natural laboratories for developing and testing monitoring approaches using
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, development, and testing of an instrument for chiral photoelectron spectroscopy of molecular ions. About the PhD Project The selected candidate will conduct research on the ultrafast spectroscopy of chiral
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health, comfort, and overall well-being. Goals and Tasks The goal of the PhD project is to develop the hardware and software components of a smart acoustic sensing platform capable of interpreting
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Rapid Chloride Migration (RCM) test using the geochemical modelling software PHREEQC. Chloride-induced corrosion of reinforcing steel is one of the primary causes of deterioration in reinforced concrete
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institutions anticipate emerging challenges, test regulatory responses, evaluate their effects and use evidence to improve governance. Research spans artificial intelligence, digital platforms, quantum
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energy piles have been extensively studied, using field tests, physical modelling, and numerical modelling, the behaviour of energy piles under complex thermomechanical loading (e.g. vertical-horizontal
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software, analytical platform, chemistry and microbiology laboratories. **Main contacts (CNRS internal and external network):** JH Renault (ICMR), Véronique Eparvier (ICSN), Maria Halabalaki (NPMC, Athens