104 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions at The Ohio State University in United States
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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assistants Ability to attract external research funding Attend relevant workshops and conferences Develop contacts and research collaborations within the College and the wider community Promote the reputation
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appropriate agencies and Institutions; identify and select problems to be studied; develop and troubleshoot new experimental techniques and protocols; attend research seminars; contribute to manuscript
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involving resource recovery while developing their own scholarly interests within the scope of the project. Additional Information: Resume & Cover Letter Required Hiring Range: $61,008 - $69,000 Required
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expertise in educational and social science research methods, with a strong background in quantitative and/or qualitative analysis. Show evidence of experience in survey research, instrument development, and
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discovery in cancer science, with a focus on the kidney cancer microenvironment. Develop successful manuscripts and grant applications to support all or part of the research effort. Partner with Dr. Rathmell
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth
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employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth
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and mechanisms of selective autophagy and lipid metabolisms in neural stem cells, microglia, and astrocytes. The lab developed novel genetically engineered mouse models to study roles of autophagy genes