251 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at Nature Careers
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, Belgium. Its mission is to unravel plant biological processes and translate this knowledge into value for society. The Functional Phosphoproteomics group (https://www.desmetlab.be/), tackles early
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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from
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development as well as field data collection at multiple test sites in Ethiopia. Job assignments The successful candidate will join a large, collaborative team of researchers with expertise in electromagnetic
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starting date: September 2025 Requirements PhD degree in molecular and cell biology or related field. Valuable experience: BBB cell models, cell trafficking, proteomics, bioinformatics, synthetic biology
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development, translational medicine, bioinformatics&data mining, and AI-enabled biomedical engineering. As a faculty member at SUSTech, you will have the opportunity to shape the future of your career while
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have performed such studies for a long time and successfully discovered multiple new drug effects under this umbrella. Specifically, this position will work with generating signals within the domain
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, metabolomics, and bioinformatics. Postdocs have abundant opportunities to interact with a vast research community offered by Rutgers campuses and participate in various career training and activities. New
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multiple organs leading to clinical manifestations such as blindness, deafness, obesity, mental retardation, renal and breathing difficulties. To date there are 35 reported ciliopathies caused by mutations
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on multidisciplinary and collaborative team projects, and managing multiple concurrent projects. Preferred experiences also include the handling of radioisotopes, molecular analyses (RT-qPCR, RNA sequencing, Western
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hold an MD or PhD, and have a strong background in human genetics and/or statistics, including knowledge of genomewide methods, such as GWAS and post-GWAS analysis; and comfort with bioinformatics