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will have a background in computational sciences or life sciences with a strong interest in applying these skills to environmental health research. Experience with programming, statistics, or machine
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for pharmaceutical and biotechnological use. The ideal candidate profile: Must-have: MSc degree in the fields of biophysics, soft matter physics, physical chemistry, computational chemistry, statistical mechanics
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to the sub-group. Themes might include: the acquisition of productivity of morphological rules; the interaction of linguistic universals and statistical properties of the input in L2/Ln acquisition; linguistic
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matter physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Good English language – spoken and written Nice-to-have: Experience with molecular dynamics simulations