63 software-formal-method-phd Postdoctoral positions at Rutgers University in United States
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Experience Minimum of PhDs degree in life sciences or related field (such as neuroscience or cell biology). Prior experience with molecular biology techniques, such as qPCR and RNA preparation, is required
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staff as appropriate. Ensure compliance with IRB, data privacy, and research ethics standards. Minimum Education and Experience: PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical
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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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programs Posting Summary Prof. Kaelber is recruiting a “dry lab” scientist for methods development in evolutionary biology. The postdoctoral associate will develop and benchmark methods for evolutionary
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, or related biomedical fields, and an interest in applying interdisciplinary research methods to the study of aging and Alzheimer’s disease prevention. The position is renewable and the anticipated start date
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and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Candidates in ABD (all but degree) status will also be considered
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Candidates in
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Number: 269896 Minimum Education and Experience: The individual must have completed a PhD in biology, biochemistry, molecular biology, or metabolic engineering with extensive computational research and lab
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letter, CV, and the names and contacts of three references. Questions should be directed to: Wei-Xing Zong, PhD, Department of Chemical Biology, the Cancer Institute of New Jersey, Rutgers University, 164
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are essential. · Record of peer-reviewed publications Certifications/Licenses Required Knowledge, Skills, and Abilities · Comprehensive understanding of statistical concepts and methods. Proficiency in at least