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properties. In parallel, they continuously sense and respond to diverse mechanical cues from their environment, including adhesion, stiffness, tension, shear, pressure, and confinement. These cues
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tools such as scientific computing, High Performance Computing (HPC), Big Data (Spark, DBMS), Machine Learning, cloud computing services (AWS, Azure, GCP), Massive Parallelism paradigms (MPI, OpenACC
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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destination. Job Summary The Data Science Institute (DSI) Tech staff is responsible for the design, operation, and security of all computing infrastructure within the Data Science Institute, including research
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target and the possibility that specific environmental factors may modulate brain function via microbiota-gut-brain interactions. In a parallel program of research, we have been exploring epigenetic
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Institute for STEM Education Program Coordinator (Temporary) Apply now Job no: 555094 Work type: Staff Location: East Bay Categories: Unit 7 - CSUEU - Clerical and Administrative Support Services
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Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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systems, ensure flow of multiple projects in parallel, data collection and storage. Reviews and tests robotics operations to define and correct errors and improve the output. Uses AI-based algorithms
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. Through our disease-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel with our
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well as many other manual and automated tests. We also do a CSF specific transferrin test, which runs electrophoresis and immunofixation on a body fluid in parallel with serum to check for CSF leakage