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Biology, Molecular Biology, Genetics, Bioinformatics, or a closely related field. • One year of demonstrated experience in single-cell analysis and 10x Genomics workflows. • Three years of educational
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The lab of Dr. Qiong (Annabel) Wang, in the department of Molecular and Cellular Endocrinology, is seeking an independent and highly motivated Postdoctoral Fellow interested in studying
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Postdoctoral Research Fellow to join our dynamic research team. The successful candidate will engage in cutting-edge research focused on epidemiology and statistics, contributing to our understanding and
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Call for Outstanding Global Postdoctoral Fellows in the Biomaterials and Regenerative Medicine Group
Join the Biomaterials and Regenerative Medicine Group at SCUT! About Us Welcome to the Biomaterials and Regenerative Medicine Group, led by Prof. Liming Bian! We are a dynamic, international
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biologists is expanding! We are looking for a Research Fellow fascinated by the structural basis of molecular functions. You will study the mechanism of RNA acetylation, how post-translational modifications
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departments and institutions in Canada and internationally are common. Research strengths include molecular, neuropharmacology, cardiovascular, diabetes, and obesity pharmacology. The Alberta Diabetes Institute
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PhD graduate in immunology, molecular biology, cell biology, biochemistry, or related fields Strong expertise in innate immunity, cancer immunology, or molecular biology Prior experience with immunology
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in studying the molecular, cellular, and metabolic mechanisms leading to obesity, diabetes, and cancer. Expertise in using mouse models to study metabolic diseases is preferred. For a complete list of
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self-motivated with a recent Ph.D. degree in molecular biology, cell biology, immunology, or cardiovascular related research fields. Solid experience in molecular biology techniques and ability
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systematic perturbation approaches. Systems Biology: Integrate multi-omic datasets to map the molecular networks influenced by mito-MPs. Machine Learning: Apply cutting-edge protein language models and AI