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scientific execution of this 24-month project in close collaboration with the principal investigator and an interdisciplinary team of experts in Open Science, meta-research, methodology and dentistry. Your
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Trustworthy Graph Machine Learning for Population Scale Networks Job description We invite applications for a postdoctoral researcher to work on fundamental techniques for trustworthy graph machine
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cardiovascular care. Within the consortium, TU Delft contributes expertise in cardiac mechanics, soft tissue modeling, growth and remodeling, machine learning, and uncertainty-aware model personalization. As a
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collaboration with two other postdocs within the project. Tasks and responsibilities: Design and perform laboratory experiments with cultured microalgae to assess their response to multiple environmental factors
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all scientific and collaborative activities. Take responsibility for structuring, curating, and safeguarding research data, working closely with the research team at the Department of Pulmonary Diseases
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; collaborate with our research engineer to develop open-source software integrations for data reuse; developing a systematic evaluation protocol; organising events and other collaborations with community
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data would be helpful to validate the microphysics models for ice nucleation process, hence clarifying the different nucleation pathways for ice formation. You will collaborate with other researchers
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Vacancies PostDoc Research Position on Developing Technology for Subjective Sporting Experiences Key takeaways Can technology learn to listen to how athletes feel, and not just to what the sensors
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coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment
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is to be the “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovations such as AI, machine learning, quantum computing, edge computing, metamaterials and