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Field
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on the those involved in immune-metabolism. Through this work, we aim to uncover new concepts in the metabolic regulation of immune function. The lab uses a combination of bioinformatics, biochemistry
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diagnostics The successful candidate will be expected to conduct wet-lab molecular biology, tissue culture, and high throughput screen experiments. Knowledge of bioinformatic analyses is considered a strength
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The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and
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or genomic data. Bioinformatics, phylogenetics, molecular evolution, or genomic epidemiology. Scientific writing and oral presentation. Applicants are not expected to have experience in every area. Additional
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on the those involved in immune-metabolism. Through this work, we aim to uncover new concepts in the metabolic regulation of immune function. The lab uses a combination of bioinformatics, biochemistry
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to improve early detection, predict disease outcomes, and develop targeted interventions that enhance patient care and long-term kidney health. Bioinformatics and Biomarker Analysis in Kidney Disease
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anticipated to receive by July 2027. Preferred skills: Academic training in computer science, artificial intelligence or machine learning, data science, bioinformatics, computational biology, epidemiology
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bioinformatics analyses; Designing and conducting experiments integrating microscopy, transcriptomics, and microfabrication to provide mechanistic insights into the regulation of the vasculature; Driving
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
understand how membrane proteins and their partners cooperate, and how disease-associated variants may perturb these interactions. This track is particularly suited for candidates with a PhD in bioinformatics
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
. Bioinformatics analysis of sequencing data. Population genetics or evolutionary genomics. Applicants with extensive experience in highly degraded DNA (for example forensic, environmental, museum, or clinical