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management questions; applications in the financial sector raise new questions and requires different and additional scenarios. There are gaps in the probability domain between normative events for water
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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, salaried, four-year PhD position exploring the extent to which enforcement competition law differs between State-owned enterprises and private undertakings. This interdisciplinary project follows a mixed
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2026 Apply now Utrecht University School of Law invites applications for a fully funded, salaried, four-year PhD position exploring the extent to which enforcement competition law differs between State
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. As a PhD candidate, your goal is to develop new methods for assessing climate risk due to consecutive droughts and at different scales in Europe. Based on these risk assessments, the PhD will develop
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effects between regions with different policies; Identifying tipping points at which climate and transition risks cause the financial sector to shift from a facilitating to a constraining role in spatial
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programming (Matlab and/or Python); Hands on with laboratory work, skilled in experimental design; Creativity, assertive attitude, and perseverance The selection process will start immediately; the intended
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. Demonstrable experience with data processing, signal analysis and programming (e.g. Python/Matlab). Ability to work independently as well as in a multi-disciplinary team. Fluent in English (oral and written
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Description Do you wish to join the new Marie Sklodowska-Curie Action Doctoral Network PREFERENCE and help us make a transformative difference in the field of molecular imaging? Then, apply to join the
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both rigorous mathematical arguments and numerical experiments; programming experience in a language such as Python, Julia, MATLAB, C or C++; good written and spoken English; the ability to work