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. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple HEP experiments. Experiments with Argonne involvement include, but are not
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section of your application: Resume/CV Cover Letter Contact Information for 3 Professional References Applications that are missing any of the required items may not move forward for consideration
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. - Analyze electrophysiological data using software such as pCLAMP, Igor Pro, or MATLAB to quantify changes in membrane properties, action potentials, and synaptic currents. - Collaborate with
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to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation
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Specific Functions Review laboratory methods, scientific journals, abstracts and other literature for information applicable to research experiments. Develop new methodology or expand existing one. Recommend
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in cosmology. The candidate will work with Prof. Arun Kannawadi and Prof. Michael Troxel on building next-generation pipelines for joint analyses of imaging data from the Rubin Observatory’s LSST and
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(including contact information for three references) and a cover letter explaining your fit for this position. Minimum Qualifications Education: MD or Ph.D. in relevant field Knowledge, Skills and Abilities
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areas: · Metagenomic and metatranscriptomic sequencing analysis · Single-cell RNA-seq and proteomic/metabolomic data integration · Integration of clinical and multi-omic microbiome data
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data around dementia home- and community-based services (HCBS). The fellow will play a key role in the Community Care Network for Dementia (CaN-D), generating and analyzing quantitative and qualitative
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contact information for three references. This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University. Princeton