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hold a postdoctoral position are also encouraged to apply. This is a unique opportunity to combine clinical research, patient-centred care, human factors, and healthcare innovation in a high-impact
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investigate how multiple environmental stressors affect the community composition, physiology, and gene expression of Antarctic microalgae, with a particular focus on their mixotrophic nutrition. You will
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set of stakeholders on designing a generalizable solution. You should also have: a recent PhD in Computer Science or Engineering, Information Studies, Human-Technology Interaction or similar; experience
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acknowledging that the same answer given to survey questions means different things to different people. Moreover, extant research has focused on the factors that explain levels of concern among the public as a
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(MLIP) for the multi-component steel system of interest. Ultimately, this simulation-driven framework will allow reliable identification ofthenew thresholds for copper content and the corresponding
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development of a Density Functional Theory (DFT)-accurate machine-learned interatomic potential (MLIP) for the multi-component steel system of interest. Ultimately, this simulation-driven framework will allow
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factors contribute to the experience of daily-life stress, and examine how daily-life stress leads to the development of both mental and cardiometabolic diseases. The project is funded through the Dutch
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, you will: Contribute to defining metrics and indicators across spatial (schoolyard, street, neighborhood, city) and temporal (daily, weekly, seasonal) scales, combining sensor-based data with human
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robot capabilities, dynamic constraints, contact-rich interactions, perception limitations, and high-level human guidance. A key objective is to bridge high-level task planning with the physical
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, seasonal) scales, combining sensor-based data with human-centered behavioral mapping and on-site observation. Help develop harmonized data collection, integration, and analysis protocols ensuring consistency