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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits
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the overall structure of the cosmic web are the various versions of the scale-space MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical
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MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical inventory, a major incentive for the project is the application and
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restoration plans and strategies for non-breeding areas. The main objective is to boost the populations of wet grassland breeding birds by increasing reproduction rates and improving return rates from wintering
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that complement your work. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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aligned with this objective, leading to a successful dissertation. You will also contribute to the academic community by publishing peer-reviewed articles and presenting your work at international AI
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the final phase, the focus will shift to a discussion with stakeholders at Achmea to explore alignment with the project’s industry-oriented objectives. Additional information can be acquired via email from
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, trainings, collaborative writing sessions) to jointly address the project’s overarching questions and objectives. Your responsibilities and tasks include: developing a research and fieldwork plan; setting up
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, trainings, collaborative writing sessions) to jointly address the project’s overarching questions and objectives. Your responsibilities and tasks include: developing a research and fieldwork plan; setting up
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urgently needed. The PhD candidate’s objective will be to evaluate current and future port call processes using LCA and develop new marine environmental impact indicators. The results of the PhD research