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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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Building a quantum computer that can solve real-world problems will require the integration of many highly coherent qubits. Hole-spin qubits in planar germanium quantum wells are among the most
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, experiments, and macroecological analyses using so far untapped global monitoring data across all populated continents.
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Microscopy) Data analysis and graphical representation (GraphPad, MATLAB, R or similar) Fluency in English and good communication skills
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longitudinal dataset combining language proficiency measures, questionnaires, repeated measures, weekly diaries, interviews, and other qualitative and quantitative data. The project therefore offers an excellent
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. The research combines cross-sectional and longitudinal approaches to understand developmental changes in metacognitive skills from childhood through adolescence. Data collection will primarily take place in
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at the University of Basel is mandatory. The first supervisor must be a member of the Department of Ancient Civilizations at the University of Basel. For further information, please contact the coordinator
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PhD Position in Ancient History: The People Behind the Villa: Life, Labour, and Death in Roman Italy
work with an exceptional interdisciplinary dataset comprising literary and epigraphic sources, archaeological evidence, cemetery populations, osteological analyses, stable isotope data, and
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of their users in the Swiss context. The successful candidate will lead the data collection of a two-wave panel study with the general population in Switzerland. The PhD project will then be extended by internal