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health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health
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relevant discipline. Relevant disciplines include health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical
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econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology with strong statistical training. You can check
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from other quantitative disciplines – such as data science, mathematical statistics, actuarial science, public health, or psychology – who have strong quantitative skills and an interest in causal
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, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is not required
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addition, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is
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I supervise a wide range of projects at the intersection of photonics and nanotechnology, investigating how we can efficiently control light on the nanoscale. Applications are in areas such as optoelectronics, green energy, and fundamental quantum optics. As a member of my group you will have...