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The Taneja Lab and Ray Chaudhuri Lab are seeking a motivated research technician to investigate how chromatin remodeling safeguards replication forks under stress, a key process for overcoming
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the following aspects: Reliable and low-latency network solutions, with appropriate redundancy and fallback mechanisms. Cloud solutions for real-time image processing as part of a dependable medical grade
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infrastructure for species identification and monitoring (for example in the ARISE and DiSSCo projects). We run nature identification services processing many millions of images/month for users including
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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of blood. These donations are tested, researched, and processed, eventually making their way to patients worldwide. The Research Department is committed daily to contributing to this chain by creating a
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an underwater particle and plankton imaging system (UVP6), and a combination of morphological and molecular techniques (DNA metabarcoding). Focus areas are the polymetallic nodule fields in the Clarion-Clipperton
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regular interaction with the academics within the ISS and with the Institute Board you will be able to see the bigger picture and thus help setting aims and objectives in order to develop and improve our
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fostering collaboration within the team as well as cross-departmentally within the University Library. This position operates in a dynamic environment influenced by developments such as digitization, process
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website (where project members/associates will be contributing blogs, annotated bibliography, and image-essays etc). As Student Assistant, you will also be welcome to develop your own research interests in
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the following aspects: Reliable and low-latency network solutions, with appropriate redundancy and fallback mechanisms. Cloud solutions for real-time image processing as part of a dependable medical grade