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Field
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case of a degree focused on health) Affinity with health promotion or willingness to develop in that field (in case of a degree focused on data science) Knowledge in programming (e.g. Pyhton, R, SQL) and
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processes are important for the delivery of soil functions in these farms and how management practices shape these processes. Your work will help define potential soil indicators for success in the transition
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that organisations can implement in their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will answer is: “What do successful
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cybersecurity solutions that organisations can implement in their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will
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skills. Strong academic background – You hold (or will obtain by winter 2025/2026) a Master’s degree (MSc or MPhil) in Economics, Econometrics, Finance, Mathematics, Business Administration, or a related
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cybersecurity solutions that organisations can implement in their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will
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solutions that organisations can implement in their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will answer is
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in high-level programming languages such as Python or R; excellent scientific writing skills in English; a strong interest in environmental characterization; a proactive, inquisitive, enthusiastic, and
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applicants will work as part of the Groeien met Groen Staal (GGS) programme, which aims to make the Dutch steel sector CO₂-neutral by 2050. Steel is crucial to modern society and plays a significant economic
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, Psychology, Public administration or other social science discipline relevant for this PhD position; can demonstrate scientific research skills; can demonstrate experience with quantitative empirical research