28 assistant-professor-computer-science-and-data-"St"-"St" Postdoctoral positions at Medical College of Wisconsin in United States
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and molecular biology, polymer chemistry, experimental design and statistics, material characterization, excellent record keeping and data management, complex problem solving, critical thinking
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concepts; mathematics; written and computer documentation; data utilization, problem solving, critical thinking, and writing skills. Skills and abilities: Basic biochemistry techniques including but not
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, Chemistry, Mathematics, Statistics, Documentation, Records management, Data utilization, Complex problem solving, Critical thinking, Resource management, Writing skills. Experience with cell culture
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eventually treat visceral pain disorders. Interested applicants should apply online and attach their curriculum vitae, statement of research interests, and contact information of three references. If you have
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diseases including coarctation of the aorta. This work will involve processing of medical image data, creation of idealized and subject-specific computational models, and/or implementation of a computational
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: PhD Field: Biology, Genetics, Biochemistry, Chemistry, Computational Biology, Biochemical Sciences or related Why MCW? Outstanding Healthcare Coverage
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thorough investigation of background information pertinent to the research program and an ability to understand the theoretical basis of the work being performed. Under the guidance of the faculty mentor and
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work direction, delegation and establishing priorities. Knowledge – Skills – Abilities Required knowledge: biology, chemistry, statistics, documentation, records management, data utilization, complex
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Required knowledge: biology, chemistry, mathematics, statistics, documentation, records management, data utilization, complex problem solving, critical thinking, resource management, and writing skills
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the interpretation of the multiparametric MRI datasets to aid in the radiologic evaluations of such patients. We are seeking a motivated individual to continue to advance and evaluate the machine learning methods