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bioinformatics methods have made significant strides, AI approaches - particularly deep learning - are revealing patterns and relationships in biological data that were previously inaccessible. As a postdoctoral
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qualitative proteomics Expertise in LC-MS/MS techniques, including eventually post-translational modification (PTM) analysis Proficiency with bioinformatics and statistical analysis tools, especially in R and
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opportunity for the successful candidates to pursue a career in the field of virology or immunology. Required Qualifications A PhD degree in microbiology, immunology or related field. Strong written and oral
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Immunology, Molecular Biology, Chemistry, Computational Biology or related fields. Expertise in immunological assays and flow cytometry. Advanced skills in data analysis using bioinformatics tools and
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defects and trapped charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students
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The ideal candidate would have a PhD in geoscience, marine science, environmental engineering, or related disciplines, would have experience handling in situ instrumentation and working alongside technicians
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are desirable. Candidates with additional expertise in 3D cell culture, xenografting, and/or single-cell sequencing would be highly competitive. Bioinformatic experience would be welcomed, though no prior
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qualifications are desired or required: Completion of a PhD degree in the field of biomedical sciences. Previous experience of basic laboratory techniques, such as immunohistochemistry, western blot and cell
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collaboration with our clinical colleagues for investigating visual motion in a group of healthy subjects. The successful applicant holds a PhD degree (or equivalent) in a relevant academic area such as applied
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of Excellence for Leukemia Studies with access to cutting-edge technology and resources. The successful candidate will ideally have a PhD (or will obtain a PhD) with a focus on molecular biology, cancer