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(indicated in order of priority) PhD degree in molecular biology, biological sciences, or an equivalent field. Experience in the following research areas: working with BSL-2 pathogens; working with cell lines
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). Design and fabrication of the calibration test phantoms Developing and testing acquisition software, and implementing image analysis algorithms and localization methods. Where to apply E-mail
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Offer Description Assistant Professor in the project The role of mechanosensitive ion channel PIEZO1 in the pre- and peri-implantation development of mouse embryos. PI: Agnieszka Walewska, PhD. Funding
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Institution Name: Łukasiewicz Research Network – Krakow Institute of Technology Position Title: Research Specialist (Implementation of PhD) CZM_24/2026 Currently, as part of the research and scientific
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of single-cell analysis methods to investigate quiescence at individual cell and population levels. Where to apply E-mail [email protected] Requirements Research FieldBiological
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metabolism. The project will utilize iPS cells, advanced methods of functional genomics, molecular biology, and siRNA screening. Scope of duties According to the Work Regulations of the Jagiellonian University
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- 4 Internal Application form(s) needed RODO ENG..pdf English (140.11 KB - PDF) Download Additional Information Eligibility criteria 1) PhD degree in Computer Science, 2) good knowledge of issues
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 2 months ago
) Research Field Agricultural sciences » Zootechnics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 27 Aug 2026 - 15:00 (Europe/Warsaw) Country Poland Type
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) Positions PhD Positions Application Deadline 28 Oct 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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. The project focuses on the development of trustworthy, transparent, open and explainable Artificial Intelligence methods and their application in complex and dynamic environments. The TUAI consortium brings