735 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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defined benefit retirement plan, with 8.25% employer matching funds Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending
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Fellow positions is to provide individuals, who have recently (within the past 6 years) completed a doctoral degree, with a full-time program of advanced academic preparation and research training under
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, life insurance, and short and long term disability as well as retirement plan options. UMaine is located in beautiful Central Maine. Many employees report that a primary reason for choosing to come to
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, checking, recoding data for analysis). At least intermediate knowledge of SAS or R programming required. Knowledge of Python and/or machine learning helpful but not required. The University of Miami offers
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, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring
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. Excellent communication and presentation skills. Strong interpersonal and organizational skills. Working knowledge of office software and instructional programs. Skilled in utilizing various learning and
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expected to pass a basic programming test in R or Python). Excellent written and verbal English skills, strong communication and interpersonal skills, and be capable of working with large collaborative teams
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. Experience with computational analysis of NGS sequencing data and/or experience with mouse models is a plus. Job Duties Under the general direction of the PI: Design, plan, and conduct research experiments
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in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students
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Science, or a related field Strong programming skills in Python, R Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model