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responsibilities: Designing and leading analyses to integrate genetic and molecular data in various populations, taking advantage of the exceptionally rich data available at the Centre; Developing effective ways
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: Designing and leading analyses to integrate genetic and molecular data in various populations, taking advantage of the exceptionally rich data available at the Centre; Developing effective ways of handling
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judgments and human fMRI and M/EEG data, shedding light on how changes in circuit structure result in aberrant perception in mental disorders. The successful candidate will work with a team of theorists and
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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are not designed to produce reliable regional estimates of those phenomena. Therefore, small area estimation (SAE) methods are used. With technological advances, Big Data now offers valuable spatial
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. They will help organize two workshops bringing together design professionals, decision-makers, and community members to evaluate a tool that measures health impacts of greenspace design. Responsibilities also
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and
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Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is
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. Qualifications: Minimum of one year post-PhD experience in a research/academic position or industry position working on development of AI-based solutions for heavy industrial machines. Extensive code-base