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, will serve as input to generate a statistical prediction model, that will be built together with the bioinformatics team. You will publish scientific articles related to the research project, disseminate
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participate in the training and dissemination events of the MSCA Doctoral Network ANT . You will develop signal processing algorithms and protocols for AirComp, and implement and validate them in simulation
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of CAPTURE (www.capture-resources.be). CMET has over 40 years of experience in the study of applied microbial processes and microbial ecology in the contexts of waste(water) treatment, bioremediation
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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catalysts. Particular attention will be given to investigating structure-function relationships during different stages of the CO₂-to-alcohol cascade process. TEM data will help clarify the spatial
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling
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, over 3D forest reconstructions, to process-based modelling and remote sensing. How to apply Application submission (CV and application letter) through this google form: https://forms.gle
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical