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orchestration (e.g., Airflow, Prefect, Dagster, Make/Snakemake) and working in Linux/HPC environments. Experience with large, multi-resolution geospatial datasets and performance-oriented processing (tiling
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. We develop and apply both experimental and computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer
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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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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
-09731 Requirements Skills/Qualifications Candidate profile - Master degree Computer Sciences. - Experience in scientific programming (e.g., Python, C++, Fortran, Julia) and parallelization
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. The goal of this work is to understand how neural circuits drive behaviors such as navigation and state-dependent responses. This role involves deep learning–based data processing of calcium imaging
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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Mountains. CVCC is a comprehensive two-year institution of higher education with an enrollment of approximately 5,000 students in occupational/technical programs and university-parallel/college transfer
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in ambiguity, demonstrates strong judgment, and can independently advance multiple initiatives in parallel. Success in this position requires a blend of technical credibility, project management
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professionals across clinical operations, scientific coordination, facilities, and research management. In parallel, the FPM professionals provide management and administrative support, ensuring a strong
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Description Electromagnetic techniques can provide a means for rapidly analyzing or processing biochemical samples in a manner that can be readily scaled up to handle large numbers of samples in massively