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Field
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of the addition elements will be investigated. The objective of the project is to understand the impact of the addition of different species (Gd, Dy, Tb, Ce ...) at different concentrations on the corrosion
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essential. Experience in controlling and operating single-molecule/super-resolution microscopes for bacterial imaging, single-particle tracking and single-molecule FRET is essential. Finally, experience in
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approaches to host/pathogen interactions, cell signalling and comparative immunology of zoonotic infections. The applicant should have a track record of research in computational biology with experience with
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- Experience in computer programming, if possible object-oriented (ideally C++) - Experience in modeling complex chemical systems, and/or in mathematical/computational analysis of multistable dynamical systems
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platform integrating the SPARROW accelerator through circuit-level fault injection. The main objectives are: Define a representative fault model for the SPARROW accelerator. Develop methods to instrument the
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career objectives and research interests, a curriculum vitae (CV), and transcripts of degrees/diplomas. For additional information, please get in touch with Dr. Tomáš Neuman at neuman@fzu.cz . We look
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-particle tracking and single-molecule FRET is essential. Finally, experience in image and time-series analysis is also essential. You should have excellent communication skills and enjoy working within
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, quality control, data processing) Strong track record as evidenced by one or more high impact publications in the field of genetics, preferably as applied towards clonal tracking Training in international
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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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Postdocs (3 years) Research Assistant Professors (5 years) Each position can lead to the next. The intention is to provide a long-term runway for ambitious research and for applying for tenure-track