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: 24th August 2025 Background A post-doctoral research fellow position is available in the Fungal Immunology Group within the Institute of Immunology & Immunotherapy, College of Medical & Dental Sciences
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The International Center for Young Scientists (ICYS) of the National Institute for Materials Science (NIMS) invites outstanding researchers to apply for two career positions: ICYS Principal
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: 25th August 2025 Background A post-doctoral Research Fellow position is available in the Fungal Immunology Group within the Institute of Immunology & Immunotherapy, College of Medical & Dental Sciences
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opportunities. Minimum Requirements: Ph.D. (or M.D./Ph.D.) in molecular biology, genomics, epigenetics, computational biology, or a related field. Demonstrated expertise in one or more of: genome engineering
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, pharmacy, biotechnology or bioengineering. Open to PhD students, PhD, Post-Doc and residents. Permanent positions such as Professors cannot apply. For the entire duration of the grant, applicants must be
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* Contribute to the supervision of PhD students and junior researchers Your Profile: * PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or a related field – (Doctoral degree should
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. You can read more about the project here . Who are you? You must hold a PhD degree in Natural Sciences or Engineering or at least have submitted your PhD thesis for assessment. Previous thematic
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
Position Details School of Metallurgy and Materials, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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: · PhD or M.D. with a strong background and profound knowledge in the field of either molecular biology, immunology, cancer biology, experience in sequencing or protein structural data analysis is highly
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of features from H&E and immunostaining methods Analysis of patient derived models (PDX and organoids) and effects of treatments on these patient models Informatics analysis and interpretation of results from