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the scientific area of electric power systems (optimization algorithms, applied artificial intelligence and mathematical modeling of PV systems and Li-Ion batteries) (20%); C - Research experience (20%); D
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of the following fields: Psychology / Cognitive Science / Mathematics / Bioengineering / Computational linguistics and typology will be valued. High aptitude for STEM subjects, Python skills will be beneficial
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a doctoral degree1 in Biology, Mathematics, Computer Science, Environmental Science or similar areas, have specialised quantitative skills and/or expertise in the fields of Theoretical Ecology
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