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, immunofluorescence, microscopy, qRT-PCR, and western blotting. Demonstrable knowledge of murine models of kidney disease and colony maintenance. Demonstrable ability to write scientific content in English (Master's
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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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variety of cultures and backgrounds. They also are expected to be present figures in KPC’s community. Model and be knowledgeable of the KPC Community Living Standards and UAA/KPC Student Code of Conduct
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least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ); knowledge of German is beneficial Our Offer: We work on the very latest issues that impact our society and are offering you
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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models. Lead the creation and execution of recruitment and replacement business plans. Oversee grants management monitoring in partnership with the Department?s Research Administration team Create
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-imaging tumourigenesis within the optically translucent Drosophila pupa. 2: Establishing RNA sequencing protocols for implementation with a Drosophila tumour models (bulk, single-nucleus sequencing
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Python and/or R. Experience with workflow managers (Nextflow/Snakemake), HPC environments (SLURM, LSF), and containerization (Docker, Singularity/Apptainer) is a plus. Working knowledge of AI/ML models and
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. The successful candidate brings substantial knowledge of national and international nonprofit organizations, including working for and with the nonprofit sector. The candidate also has a background in nonprofit
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Assistants Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 1 yr or currently completing a formal Emergency Medicine