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fully funded PhD position within the LowDataML doctoral network, focusing on developing innovative machine-learning approaches for drug discovery under low-data conditions. LowDataML aims to bridge
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decision-making processes in ways that genuinely improve public-space performance? This PhD project approaches public-space management through the lenses of transaction cost theory, rational-choice
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integrated energy systems, including correlations between energy grids, uncertainties and simultaneous peak loads. In this project, Digital pathways for accelerating collective decision making of energy
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high-resolution reconstructions and quantifying their reliability. As a PhD candidate, you will contribute to the programme’s theme through the design, analysis and implementation of efficient numerical
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fixed year-end bonus of 8.3%; excellent pension scheme. In addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to
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(e.g., R, Python) Project management and organization skills Proficiency in English at an academic level, including strong writing skills Skills for providing small-scale education, such as bachelor
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performance programs. As a PhD candidate in this project, you will: Investigate muscle physiology using advanced techniques such as MRI-DTI, ultrasound imaging, muscle stimulation, and electromyography (EMG
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research in highly ranked management journals. In addition to undertaking research visits, we actively encourage participation in all major international conferences, and support PhD candidates in
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aviation applications, focusing on battery module design and battery management system design. The group will collaborate with the leading stakeholders in the Dutch battery ecosystem to develop and
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position within the project