56 distributed-algorithm-"Meta"-"Meta"-"Meta" positions at Baylor College of Medicine
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. Job Duties Assists with the production of routine financial reports and documents. Assists with processing labor distribution, budget and expense reports, and other financial documents in SAP and Concur
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Duties • Assists with the day-to-day operations of the Office of Faculty Affairs/Faculty Development. • Assists with generating, reviewing, distributing, tracking, and archiving faculty appointment letters
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Status: Nonexempt Work Schedule: Flexible Summary The intern will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in our cluster computers. Overall
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quality control processes and distribution to pathologists. Maintains maintenance logs and keeps laboratory equipment operational and manages archiving of patient materials. Is able to perform duties of a
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information. Takes inventory of clinic supplies and order supplies as needed. Sorts and distributes clinic mail and medical records to the appropriate clinic personnel. Performs other duties as assigned
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and may schedule follow up visits. Responsilbe for distributing patient documents and scanning documents in EPIC. Ensures charge tickets are marked and records all charges captured by physician
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within the department of surgery at Ben Taub Hospital. This position will play a critical role in the day to day operations of the department including creating and distributing monthly call schedules
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Duties Manage office inventory and place orders for supplies, lab coats, and business cards. Maintain directories, distribution lists, photo rosters, and the division’s internal and public websites
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. Sorts and distributes clinic mail and medical records to the appropriate clinic person. Performs other duties as assigned. Minimum Qualifications High school diploma or GED and completion of an approved
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learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq data