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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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. Your job Throughout the process, we will apply a range of molecular methods to analyse biological agents and characterise exposure. Our ultimate goal is to understand how these new methods can be
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. Drawing on insights from hydrology and quantitative risk management, the project will also develop improved methods to identify energy droughts and detect "worst-case" weather years for energy security
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gradient that determines atmospheric water transport to extra-tropical regions. To this end, you will generate proxy data to assess temperature, hydrology and carbon cycle information. Methods might include
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Application deadline: 15 May 2025 Apply now Are you fascinated by the complex ways our social environments shape health? Do you want to develop cutting-edge methods to measure social networks at a population
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visual, digital and/or creative methods; excellent planning and organisational skills (including meeting project goals and deadlines), ability to take initiative, and present research findings for wider
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experience in working with visual, digital and/or creative methods; excellent planning and organisational skills (including meeting project goals and deadlines), ability to take initiative, and present
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health behaviour. Using a novel combination of deep learning, street view imagery, and epidemiological methods, we aim to identify the most effective urban exposure modifications. This research will
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interdisciplinary environment within EMBRACER and international partners and apply advanced methods like Lagrangian tracking and reanalyses to reveal new insights into atmosphere-ice-ocean feedbacks in the Arctic
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knowledge in NMR is a big plus for the positions. As we use a combination of methods to gauge the molecular action of drugs, being a strong team player is very important for the positions. Our offer A job for