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in their decisions and businesses in their strategies. You will join the Intelligent and Clean Energy Systems (ICES) research unit at the Luxembourg Institute of Science and Technology (LIST) and will
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microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights into these complex interactions. As part of this position, you will have the
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. The BayesCompare project is a FNR funded project on Bayesian comparisons between artificial and natural representations to improve our understanding how natural and artificial intelligences process information
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will be given to research into (1) Hydrogen-related materials, (2) Battery materials, (3) Quantum materials, (4) Semiconducting materials, (5) Artificial intelligence materials, (6) Metal and inorganic
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I-2503 – PHD IN EXPLAINABLE AI FOR DATA-DRIVEN PHYSIOLOGICAL AND BEHAVIORAL MODELLING OF CAR DRIVERS
for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a PhD candidate in artificial intelligence and
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artificial intelligence methods. PhD position in atmospheric corrosion studies via novel experiments and machine learning Reference code: 50134137_2 – 2025/MO 1 Commencement date: as soon as possible Work
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innovative high-tech technologies, advanced data analysis tools and artificial intelligence, organ-on-chip MRD models, and drug and immunotherapy testing, and will come up with innovative ideas to advance
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PhD candidate in the automated detection of measurable residual disease in hematological malignancie
laboratory specialists and clinicians Profile You obtained a Master's in Computer Science, Artificial Intelligence, Bioinformatics, Engineering, Bio-engineering, or equivalent. Background in AI