96 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at Rutgers University
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biology, enzymology, crystallographic fragment screening, and structure-guided drug discovery to define novel mechanisms of RT inhibition and develop new approaches for targeting protein–nucleic acid
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scientific communication, training of junior personnel including graduate and undergraduate students Contribute to the development of performance standards, selection of methodology and instrumentation and
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T-cell Acute Lymphoblastic Leukemia (T-ALL) using mouse models under the supervision of the Principal Investigator. The Postdoctoral Associate also performs research, experiments, and laboratory
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: Strong skills in developing biosignal processing algorithms and implementing machine learning models for data interpretation. Technical Oversight: Ability to monitor complex data collection processes and
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sources, and to provide training in cutting‑edge techniques and career development. Among the key duties of this position are the following: Performs independent research involving mammalian cell culture
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disparities therein. The postdoctoral research scientist will have the opportunity to explore additional research questions for their career development. The Postdoctoral Associate may analyze and interpret
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., Alzheimer’s or Parkinson’s) and a track record of first author publications, a plus. Experience with the development and validation of advanced cellular models, such as induced pluripotent stem cell–derived
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projects to develop, validate, improve, and apply analytical methods for the identification and quantification of metabolites relevant to chronic diseases using advanced mass spectrometry-based techniques
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Postdoctoral Associate position is available at Rutgers Cancer Institute in Christian Hinrichs’s laboratory to conduct research on tumor immunology with a focus on the discovery and development of T cell therapy
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scientific communication, training of junior personnel including graduate and undergraduate students. Contribute to the development of performance standards, selection of methodology and instrumentation and