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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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graduate and undergraduate students, as well as summer medical students, in their research projects. Additionally, the Fellow will contribute to maintaining animal models, and tissue culture, and performing
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be very close to completion, in ML, statistics, meteorology, climate science, physics, or related fields. He/she will have substantial experience with ML, or with weather forecasting models. Essential
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knowledge of biology, biochemistry, pharmacology and anatomophysiology; 3. Experience in data collection and performing statistics; 4. Ability to respond to complex situations involving direct contact with
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datasets spanning a range of model organisms (e.g. Danio rerio, Caenorhabditis elegans, Drosophila melanogaster, Daphnia magna, and others) and human cell lines. In addition, the role will involve the in
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funding scheme, supporting new collaborative opportunities. Promotes equality and values diversity acting as a role model and fostering an inclusive working culture. Research and Dissemination: Propose
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or joint research, with assistance of a mentor if required and contribute to writing bids for funding Promote equality and values diversity, acting as a role model and fostering an inclusive working culture
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. The candidate will join a multi-disciplinary research team aiming at exploring innovative processes to manufacture intelligent soft magnetic robots, modelling their behaviour under an external controllable
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can successfully predict previously-unknown regulators of seed development through functional genetic analysis of conserved, uncharacterised genes in the model seed plant Arabidopsis thaliana
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is necessary to: 1) explore platforms and frameworks that support the development and implementation of the models needed to detect and predict leaks; 2) process real and simulated data that will be