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- Institute of Photonic Sciences
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. The successful candidate will be joining the Molecular Nanophotonics group led by Prof. Dr. Niek van Hulst. Key responsibilities Contribute to Project FastTrack, to track energy (exciton/charge) transport in
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assessments Where to apply Website https://sl1nk.com/lKt56 Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Skills/Qualifications PhD in Biomedicine, or a related field. Proven track
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and their research interests can be obtained through our website: https://ific.uv.es Applicants are expected to have a competitive research track record in theoretical particle physics, and a strong
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an advantage. Experience working with model or non-model plant species. Proven track record of publications in relevant areas. Skills: Strong experimental and analytical skills in molecular biology and plant
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presentations. * Desirable: * Prior experience with Alzheimer s disease models and glia/astrocyte biology. * Prior track record of peer-reviewed publications in relevant fields. * Prior experience supervising
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for quantitative microscopy data. - Proven track record of peer-reviewed scientific publications - Experience in web application development. - Ability to work independently and proactively, with strong project
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behavioural analytics and high-resolution tracking. • Experience with animal models of ageing, especially Drosophila melanogaster, will be highly valued. • Strong analytical skills. • Excellent publication
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methodologies will also be highly valued. We seek candidates with at least 3 years after their PhD, with a track record of research publications in high quality international academic journals and press, and with
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sciences, political science or economics. Expertise in urban planning and statistical analysis, proficiency in English (additional European languages are a plus), and a demonstrated track record in mobility
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organoids Experience with cerebral organoid models (is preferred but not mandatory) Molecular and biological assays to characterize stem cells and extracellular vesicles ES4TERM group has long track record in