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Fellows withing several research areas and projects. Immunology Cancer Genomics and Cell Signaling Infectious disease modeling Epidemiology-Multiomics Neurodegeneration Bioinformatic tools Molecular biology
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their PhD will be appointed as a Research Assistant within the salary range £43,863 - £47,223 per annum Experience in multi-omic data analysis and bioinformatics Proficiency in flow cytometry and molecular
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. Selection criteria Essential PhD in computational biology, bioinformatics, or computer science with a focus on human gut microbiome data Excellent written and oral English communication skills. Significant
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, or be close to completion of, a relevant PhD with relevant experience in molecular plant biology. Ideally, they will also have previous experience working with Marchantia polymorpha and/or
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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 8 days ago
data quality Participating in project meetings and contributing to scientific publications Required Qualifications PhD in Cell and Molecular Biology, Immunology, or related field Strong skills in
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the UK Visas and Immigration Website. We are seeking a highly motivated researcher with a PhD in a relevant discipline (such as microbiology, neuroscience, bioinformatics, or systems biology) to join our
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vectors studies, including vector design and cloning. RNA sequencing. Proteomics/transcriptomics and bioinformatics. PLA. Immunohistochemistry on brain sections. Surgery to implant electrodes and EEG
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activities -Other duties as required. Required Education: -PhD in relevant field (plant science, genetics and genomics, biochemistry etc.) Required Qualifications: -Ability to conduct independent research in
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bioinformatics, to join our team in Leuven. A successful candidate: Has a master’s degree in Bioinformatics and affinity with Computer Science, Bio-engineering and Life Sciences Has a PhD and experience with
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Southereastern Cooperative Fish Genetics Project. This person shall be an expert in fish taxonomy, systematics, phylogenomics, genomics, and bioinformatics approaches. Taxonomically identify fish using morphology