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into your PhD dissertation, supported by experienced GEM researchers; you design and apply innovative computational methods such as machine learning, to extract meaningful insights from GEM and complementary
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successfully completed a PhD programme in Earth Sciences, Environmental Sciences, Biology or a related discipline by the time the position starts. Preferably, you also have: experience and affinity with
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formation via modifications to sedimentary redox reactions and sediment stabilisation, providing microenvironments favorable for organic matter preservation. A personalised training programme will be set up
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the ability to work independently. Eagerness to acquire new knowledge and skills (e.g., machine learning, high-performance computing) that will support both the project and your personal development
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fully funded, full-time, four-year PhD position within the Exposome-NL Gravitation programme external link . Your qualities You are a motivated and proactive colleague who: has a Master’s degree in
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this sparked your interest? We invite you to apply for our fully funded, full-time, four-year PhD position within the Exposome-NL Gravitation programme external link . Your qualities You are a motivated and
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people across disciplines and with a variety of perspectives and backgrounds. The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics
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, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring education. We do so, driven by curiosity and