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Organisation Job description Lithium is a critical raw material essential to battery technologies powering the global energy transition. However, during the refining process for battery-grade
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stages of the selection process. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working
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, overall professional perspective and career goals will also be explored during the later stages of the selection process. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed
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, the Emissions Trading Scheme, and the Corporate Sustainability Reporting Directive, add urgency to this transition. A promising framework for addressing these challenges is the Physical Internet (PI), which
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
challenges, ensuring ethical considerations and social justice in the innovation process, and exploring innovations and systemic change avenues for environmental and social sustainability. You can find more
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biology and systems chemistry/complex molecular systems. The research programme of the Feringa group focuses on synthetic and physical organic chemistry, inspired by Nature's principles of molecular
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of mechanical and physical properties of thin carbon/boron-nitride nanotube (CNT/BNNT) films. The goal of the project is to calibrate an existing numerical model and reproduce the realistic mechanical properties
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for the vacancy, regardless of age, gender, origin, sexual orientation or physical abilities. About CWI Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer
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edge of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical
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develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques