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keeping up to date in the research domain, driving the research, designing and performing experiments, analyzing the results, maintaining collaborations, writing scientific articles, presenting the research
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, biophysics, or chemistry. Teaching experience is meritorious but not required * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements
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research experience in phylogenomics. You should have a strong background in bioinformatics, statistical phylogenetics and comparative genomics. Previous experience of working with de novo assemblies and
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targets, e.g., Kubernetes is a strong advantage. An excellent knowledge in the focused research areas of Software Technology and Machine Learning are strong advantages. Experience in teaching at
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fundamental research with practical, application-driven outcomes. You will work in a dynamic, multidisciplinary environment alongside academic and industry experts, with an emphasis on experimental research
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. Who we are looking for The candidate for Position 1 (nanofabrication of TWPAs) should have experience in nanofabrication, with additional experience in cryogenic measurements of superconducting circuits
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experience in project design, analyses, interpretation and scientific publication and be involved in a project that develops future AI tools for genomic analysis. Examples of areas in which the scholarship
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are seeking a postdoctoral researcher with a PhD in AI-based computational pathology, or related field, with experience in development or application of deep learning methodologies. Knowledge and expertise in
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– entrepreneurship as design, scientific entrepreneurship, theory-based view, iterative venture development, experimentation, iterative prototyping, effectuation, co-creation, balancing exploration and exploitation
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nearing completion of their PhD are also encouraged to apply. Demonstrated early career achievements, including scientific publications. Experience with characterization techniques for studying