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Field
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schedules Data Quality & Sampling Run NSM algorithm in R to generate samples Maintain tracking databases and monitor data accuracy Troubleshoot recruitment and performance issues Budget & Resource Management
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---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: PICKLE RESEARCH CAMPUS ---- Job Details: Purpose The R
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LOCATION Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience: Experience in the following area: Python programming; Algorithms; Software design; Applications
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contribute to the development of novel algorithms and methodologies that enhance the robustness and accuracy of acoustic measurements. We are looking for a highly motivated candidate, with a relevant MSc
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at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers an inclusive and international working environment
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Department: Office Rsrch Innov and Econ Impact Classification: Administrative Faculty Job Category: Administrative or Professional Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40
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LOCATION Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience Experience in the following area: Python programming; Algorithms; Software design; Applications
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Job Posting Title: Social Science/Humanities Research Associate II, de Barbaro Lab ---- Hiring Department: Department of Psychology ---- Position Open To: All Applicants ---- Weekly Scheduled Hours
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offices. 7. Available to work a variable schedule Monday through Saturday, September through May; and Sundays, June through August. 8. Assist with museum programs, events, and exhibit openings, including
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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | 24 days ago
, including tools for remote access, job scheduling, and performance profiling Proven experience in handling large-scale, multi-dimensional datasets Strong background in prototyping and optimizing ML/AI