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with a passion for planetary health and a commitment to driving change. You should bring: A PhD in a relevant discipline (e.g., public health, environmental science, environmental economics, social
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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external funding; Establishing and coordinating a learning community in the field of Data Science and Healthy Lifestyles to promote knowledge sharing and collaboration. Your qualities A completed PhD in a
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among VR makers, industry stakeholders and VR spaces (labs, festivals and tech events). The project draws from different disciplinary fields such as (digital) media studies, postcolonial theory, science
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years), or be close to completing a PhD in engineering or physics, preferably with a focus on the development of fluid-thermal-structure interaction mathematical models. A thesis topic relevant to
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Governance?’ funded by the Dutch Research Council. The project is led by Dr. Agni Kalfagianni. Job requirements PhD in political science, political theory, social sciences, humanities or a related discipline
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Division, Systems Department, Directorate of Technology, Engineering and Quality. The Future Engineering Division, in support of the programme directorates, is responsible for developing and providing
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PhD degree in either machine learning or computational molecular sciences. Advanced knowledge in molecular machine learning. Advanced knowledge in computational chemistry. Advanced programming skills
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strong roots in biophysics, biochemistry & molecular biology, cell biology, chemistry, computational biology, microbiology or genetics are organized in two focal areas: ‘Molecular Mechanisms of Biological
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Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in computer science, mathematics, or informatics, with the subject of your thesis being relevant t