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and testing behavior change interventions as an advantage. Strong analytical, problem-solving, and organizational skills, with the ability to work both independently and collaboratively. Initiative
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commitment to the critical examination and meaningful response to violence against women. If you recognise yourself in this profile, but do not meet all the requirements, but you believe that this is the right
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
will build abstract, spatially explicit models of interacting molecules to examine which properties (features of both the building blocks and the environment) enable replication with sufficient variation
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. Starting date: Preferably per September 1, 2025 An assessment may be part of the procedure, consisting of psychological tests and an interview. Application You may apply for this position until 2 June 11
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identify when and how environmental change elicits changes in social life and how this in turn affects the capacity to cope with environmental variation and change, which has not been tested. Our long-term
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to cope with environmental variation and change, which has not been tested. Our long-term study of the facultatively cooperative Seychelles warblers (SW) on Cousin Island, Seychelles, provides a uniquely
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interventions are maintained in the context of stressors. In order to examine these questions, the project will use multiple methods such as experience sampling, laboratory tasks, and a randomized-controlled
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diverse disciplines and sites across Europe, including the UK, Portugal, and Spain. WATERGRID will develop, test, and implement various nature-based solutions while exploring the economic, institutional
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part of the procedure, consisting of psychological tests and an interview. If you are interested, you can apply for this position until 25 May 11:59pm / before 26 May 2025 Dutch local time (CEST) by
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Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design