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of organic contaminants. Our research group blends environmental analytical chemistry and chemical biology to study environmental and biological (i.e., toxicokinetics) fate of organic contaminants. Much of our
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Python, R, or MATLAB. Knowledge of systems biology and integrative approaches to studying microbial communities. Experience in mentoring and teaching Qualifications: A Ph.D. in Computational Science
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. Familiarity with Machine-Learning and computational tools and programming languages such as Python, R, or MATLAB. Knowledge of systems biology and integrative approaches to studying microbial communities
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Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems and society to understand how computational biology might better serve
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relevant STEM area such as biology, computer science, or robotic engineering, etc.) Willingness to maintain confidentiality Computer competency, including but not limited to Microsoft Office suite (Outlook
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of the project is to detect cancer biomarkers from urine samples using advancements in synthetic biology. The postdoctoral researcher will be responsible for designing the sensors, the microfabrication process and
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molecular biology or programming-based image analysis will be much welcome. The project(s) related to this position will be quantifying and redesigning the biophysical and physiological properties
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for someone who shares our values and who will support the mission of the university through their work. Qualifications: Bachelor’s degree in neuroscience or related field (biology, engineering, computer
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integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: Doctorate degree in Engineering, Computational Biology
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support the mission of the university through their work. Qualifications: Ph.D. in Engineering, Computational Biology, Biophysics, Chemistry, Molecular Biology, Genetics or related field Laboratory