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of auditory stimuli and creation of stimulation sequences 5) Implementation of pilot studies in adults and infants 6) Programming analysis algorithms for FFR, MMN and statistical learning, based on spectral and
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distributional impacts (demand-side). The tools and models developed will help understand the impacts of the energy transition, both on the supply and the demand side. The candidate will work closely with Prof
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, insurance, etc.), to be distributed monthly as a top-up to the gross salary.1 · 9,000 EUR relocation for secondment stipend to cover compulsory project-related travel and accommodation costs (flights, visa
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: The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points. Threshold: 5 points. The maximum score (10 points) will be distributed as follows: 1
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: Own the optimiser: design, implement, and tune heuristic/metaheuristic algorithms (e.g
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entanglement distribution in various topologies and its impact on network scalability; (iv) the simulation of the developed methods and techniques, along with the extraction and analysis of results; and (v
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pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group
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to cover costs associated with taking up employment (flights, visa, insurance, etc.), to be distributed monthly as a top-up to the gross salary.1 · 9,000 EUR relocation for secondment stipend to cover
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. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group: Atomistic & Molecular Modelling for Catalysis Group Requirements Specific Requirements PhD in Chemistry
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges