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related discipline. Preferred Qualifications: Research experience in environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal
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environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal and written communication skills. Demonstrated ability to work effectively
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, using R or Python; experience with these datasets is helpful but not required Preparing statistical reports and presentations Presenting findings at regional or national scientific meetings Mentoring
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machine learning. Essential Duties and Responsibilities: Develop and implement advanced reconstruction algorithms for correlated and low-dose imaging modalities. Maintain and extend Python-based software
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responsibilities for this role include: Initiating, planning, and overseeing research projects Leading the analysis of complex multiomics data, including single-cell and spatial omics, using R or Python; experience
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(such as Seurat, Scanpy, etc.) Proficiency in R or Python for statistical computing and visualization Familiarity with dimensionality reduction techniques like tSNE, UMAP, PCA Experience with multicolor flow
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Python, MATLAB, or C++. Experience with machine learning techniques, CAD, computational modeling, 3D printing, motion capture, and/or material testing. Proficiency in programming languages commonly used in
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. Strong background in neuroimaging techniques (e.g., MRI, PET) and computational modeling. Proficiency in programming languages such as Python, MATLAB, or R. Experience with image processing tools and
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statistical packages (e.g., R and/or Python). Experience working with neuroimaging is desirable. Ideal candidates will have a background in Psychology, Psychiatry, Neuroscience, Cognitive Science, or Biomedical
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giant viruses in particular Preferred Qualifications Experience working with cultures of bacteria/algae/viruses Experience with a coding language (preferably Python or R) and working with bioinformatic