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expertise in advanced MIP microspectroscopy and its application in cell and environmental studies Participate in method development of quantitative MIP protocols for determination of the target molecule mass
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project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through
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roles for oxidative stress-related signaling steps in the onset of nuclear oxidative stress leading to beta cell death under diabetogenic conditions. Conduct proteomic studies for the identification
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a model system, research in the Stahley Lab focuses on understanding the cell-cell interactions that establish collective cell polarity. The successful applicant will be expected to employ cell and
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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originality Experience in designing, running, and analyzing data from image-based physiology and single-cell activity profiling Preferred Qualifications: Experience with cultivation techniques for plant, fungal
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. Comm. 2017; Thangavel et al., J. Cell Biol. 2015; Berti et al., Nat. Struct. Mol. Biol. 2013). The Postdoctoral Research Associate will have the opportunity to acquire and develop new skills, including
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airway muscles. You will receive extensive training in the relevant techniques, including whole cell patch clamp electrophysiology of brainstem neurons, immunohistochemistry, RNA-sequencing, etc. You will
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Research expertise in genomics, molecular or cell biology