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(Required) PhD in Information Theory, Mathematics or related fields Strong research skills and a solid track record of publications Excellent written and verbal communication skills in English. Knowledge
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modelling across different depths of human evolutionary history, building on methods published in Speidel et al, Nature 2025 and application to new large-scale modern and ancient genetic data. - Developing
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initiatives Qualifications (Required) PhD in Mathematics or related fields Strong research skills and a solid track record of publications Excellent written and verbal communication skills in English. Knowledge
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Millimetre wave Electromagnetic simulation We also welcome researchers from different fields: AI (machine learning, big data, etc) Semiconductors As a minimum requirement, you must have a PhD degree in
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of information theory, mathematical modeling and machine learning and their application to medical science problems (5) Deep Learning in Biomedical Sciences (6) Theory and methods on prediction, control and
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generation of the ongoing IceCube observatory. The successful candidate will have strong commitments to development and calibration of the next generation deep-ice optical detectors and associated software