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Job Description Apply now Req Id: 37997 Job Title: Post Doc Research Assistant - BE City: West Lafayette Job Description: Job Summary The Department of Agricultural and Biological Engineering (ABE
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to determine research and project directions within sub workgroups in the workplace. Essential Job Duties Lead and independently solve key problems within the field of Synthetic Biology and Genome Engineering
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Job Title Research Assistant Agency Texas A&M University Department Biology Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job Description Glimpse of the Job
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Professor (Research Track) in the field of T cell immunology, Cancer Biology and Cancer Immunotherapy. The suitable person will have extensive experience in the field of immunology with a special focus on
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to combat these disorders. The incumbent will utilize cell and molecular biology techniques alongside electrophysiology, metabolomics, proteomics, and RNA-seq to investigate how de novo mutations in PACS1
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
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Chemical Engineering and demonstrate a proven track record of applying CFD methodologies to complex biological or medical systems. Essential Duties and Responsibilities: Lead and execute advanced CFD
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Professor (Research Track) in the field of T cell immunology, Cancer Biology and Cancer Immunotherapy. The suitable person will have extensive experience in the field of immunology with a special focus on
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Genetics, Neuroscience, Molecular Biology, or Related Discipline. Skilled in conventional molecular methods such as quantitative methods for qualitative and quantitative analysis of gene expression (qPCR
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images (e.g., pathology, MRI, CT, and RGB) and molecular profiles. Conduct hypothesis-driven research to link molecular profiles to disease biology. Focus on generating and validating diagnostic tools