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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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Strong theoretical background and practical experience in neurosciences, with a keen interest for neurometabolism Solid bioinformatic and biostatistics skills will be required Excellent organizational and
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on or as soon possible, with possibilities to extend for another two years. Job description You should be experienced in biochemistry, tissue proteomics, and protein bioinformatics. You will spearhead
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the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine
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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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;Knowledge of bioinformatics tools relevant to gene editing and transcriptomics (e.g., Benchling, SnapGene, Geneious, R, Python);Proven track record in publication and in scientific outreach. Personal Skills
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Your profile: Master degree in biology, biochemistry, biotechnology or related areas prior experience with cell culture, iPSC and molecular biology techniques prior experience in bioinformatics
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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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