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contribute to protection against MRSA-infection. Using a combination of immunology, microbiology, and transcriptomics, the successful candidate will lead the experimental investigation of the
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, hepatology, pathology, microbiology, immunology, surgery, veterinary medicine, bioinformatics, core facilities, other departments, individuals and labs. Qualifications Applicants should have a PhD, MD, MD/PhD
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microbiome in biogeochemical processes. Metagenomics is able to evaluate the presence of different taxa or specific genes while transcriptomics is able to define levels of gene expression, but proteomics
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/transcriptomics, and/or fungal natural products discovery. Experience in one or more of the following is highly desired (in order of importance): (1) fungal and/or insect molecular genetics, i.e., construction
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imaging platforms such as multiplexed ion beam imaging (MIBI) and spatial transcriptomics analysis Environment Dr. Hsieh is an NIH-funded physician-scientist Associate Professor in the department of
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cytometry, transcriptomics, and immune assays. Candidate profile Candidates should have a PhD with strong background in Immunology, expertise in animal experimentation (mandatory), experience with flow
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Fellow in Computational Biology- Hirst Lab Department Research | Hirst | Department of Microbiology | Faculty of Science (Martin
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, Microbiology, Cell Biology, or a related area. Technical expertise in various molecular techniques, such as cloning, qRT-PCR, ELISA, protein expression and purification, is required. Experience with ChIP
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Microbiology group at the Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences (SLU), in Uppsala. We are looking for a dedicated researcher to collaborate in a
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immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular biology methods, dry-lab