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, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with
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over 30 industry partners to learn about their work and future career opportunities Have the opportunity to explore commercialisation of research outcomes through a spin-out company Join a programme
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start date Programming skills in Python, R or STATA Willingness to learn unfamiliar tools as needed (e.g. GitHub, APIs, new libraries). Familiarity with econometric techniques, especially panel data
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employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors
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from home, and hybrid meetings but also redefine them. Requirements You enjoy working independently, want to drive new ideas forward, and are willing to acquire new skills to achieve your goals. As part
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; experience in producing nanomaterials with biological activity will be an additional asset; • be familiar with, or willing to learn, analytical techniques such as UV-Vis spectroscopy, HPLC and dynamic light
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working and study climate, and an inspiring environment for education and research. Learn more about our codes of conduct We are located on one physical campus, in the heart of Amsterdam's Zuidas business
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closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven
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collaborative learning processes Developing the research competence required to complete a doctoral degree Required selection criteria You must have a professionally relevant educational background in psychology
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and validated within the PhLAM team. Consequently, only limited effort will be required to acquire the experimental skills needed for this part of the project, allowing the PhD candidate to focus