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Science, or a closely related field. Documented experience in the synthesis and purification of organic semiconductors, nanoparticles, or quantum dots. Experience with the synthesis of carbon dots is
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· Designing and performing experiments · Data analysis and manuscript preparation · Presentation of results internally and externally · Collaboration with other scientists
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expected to have documented experience of: developing statistical methods for functional data, specifically with a focus on sample size estimation or reliability for functional data. ability to work both
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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is
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, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories. This postdoctoral position is
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in a sample Optimize and validate the performance of a MIP microscope setup in terms of sensitivity, spatial resolution and quantification through systematic experimentation and mathematical modelling
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, applied mathematics, or a closely related quantitative field. The ideal candidate has experience in mechanistic or mathematical modelling of biological systems, an interest in working with experimental
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for a candidate with a strong interest in research and ideally some previous experience in data analysis, such as analysis of genetic data using statistical software. We welcome applicants with diverse
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implementation science, physical activity, or exercise interventions; experience in quantitative and/or mixed-methods research. Experience in exercise training research, clinical populations, or behavior change
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), we aim to strengthen research on violence, safety, and gender in school environments. Research conducted within the framework of this position may, for example, explore how experiences and