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immunofluorescence and antibody validation Immunofluorescence staining of tissues, microscopy, image analysis Contribute to general lab tasks Maintaining accurate and detailed records of experiments Basic
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) by the time of appointment. Must have experience with instrumentation and experimental techniques Must have strong analytical skills and a record of scientific productivity. Additional Qualifications
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microbiology and molecular biology. Ideally, the candidate will have experience with bacterial husbandry, cloning, genetics, microscopy/biological imaging and/or protein biochemistry. A strong publication record
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conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch). Practical experience with cloud
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Qualifications PhD in Developmental Biology, Cell Biology, or related fields. Strong background in cell biology, different types of fluorescent imaging, and organoid culture required. Experience with model
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. Successful candidates will be expected to contribute to technique development/material synthesis, plan and lead research projects, acquire and analyze experimental data, supervise and mentor undergraduate
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of biomechanics and computer vision to document the wingbeat frequencies and phototactic behaviors of diverse insects under diverse contexts. Candidates will be expected to plan and lead behavioral experiments
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Qualifications Applicants must have substantial experience with data science and statistical analysis. Preference will be given to candidates with demonstrated research interests in areas currently under
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independent funding and that will help advance the mission of the NIH. Applicants must have no more than 4 years of postdoctoral research experience at the time of the initial or the subsequent resubmission
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, and equipment that will promote the continuity of the career development research project during a period in which the PD/PI experiences critical life events which have the potential to impact research