45 parallel-computing-numerical-methods-"Multiple" positions at Erasmus University Rotterdam in Netherlands
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fte - 1 fte Introduction Are you a programme manager with a passion for supporting quality education with a mission? Then RSM is looking for you! Come join our international programme management team
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where there is no clear or well-defined solution. SSM emphasizes understanding problems from multiple stakeholders' perspectives, facilitating the exploration of different viewpoints and fostering a
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and implement the research independently and under guidance of the promotor and supervisor. This entails the set-up of the research, the selection of methods and theories, data collection and analysis
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of the proposed methods. Identifying the critical assumptions needed to draw inferences from empirical results. Writing computer code to analyse experimental or secondary data according the best practices and tools
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, Social Enterprises, Stigma, Stakeholders, Commons and Cooperatives, Social Movements Topic Our PhD program seeks to train the next generation of academics in the area of sustainability and management. We
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solutions for larger societal divides. Using methods such as multi-criteria mapping and participatory action research, you will co-design interventions that help CCs recognize, discuss, and address
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to manage multiple tasks and deadlines. Proficiency with digital communication tools and platforms (e.g., CMS systems, social media management tools, MS Teams/SharePoint). Strong analytical and writing skills
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ethics, political philosophy and philosophical conceptual analysis; Experience with quantitative empirical research methods (semi-structured interviews, focus groups, participatory research, including data
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. You will join our international marketing team, consisting of marketing managers and fellow officers, and work closely with our Sales and Programme Management teams. Your daily activities and
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funded methodological research program to improve the theoretical and empirical foundations of health economic modelling methods (e.g. Markov models, microsimulation, discrete event models, real-world data