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, and supportive atmosphere, equipped with state-of-the-art research facilities, including dedicated GPU clusters, data servers, and personal GPU-enabled workstations. You will join a multidisciplinary
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to provide hands-on support in the lab to research being carried out by MSc students, PhD- and postdoctoral researchers in the QG&QI, QMat and SM research clusters. You will play an important role in the QG&QI
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conferences; Actively participating and contributing to the PhD community of Fertile Soils and the Landscape Architecture and Spatial Planning cluster. You will work here The research is embedded within
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-like dynamics in synthetic systems remains a major challenge across physics, chemistry, biophysics, and materials science. In this PhD project, you will: Develop an experimental platform to study 3D self
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, PhD- and postdoctoral researchers in the QG&QI, QMat and SM research clusters. You will play an important role in the QG&QI research cluster, for example building new laser systems, helping new students
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, integrated long term designs that are supported by sound analyses, thoroughly tested and are co-created with societal stakeholders? Then you could be the ideal PhD candidate to join our team! In the Fertile
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learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts. For example, we would like to be able
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group, at TU Delft to pioneer self-organizing edge infrastructure that will define the next generation of Internet architecture. This PhD position offers you the opportunity to shape the future
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theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts
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fairness, emotion and affective interaction, or user-centered evaluation will be a strong advantage. The successful PhD candidate will be embedded in the Human AI cluster, at the Leiden Institute