10 data "https:" "https:" "https:" "https:" Postdoctoral positions at The University of Iowa in United States
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. Work with electromagnetic geophysics methods and geophysical field data collection . Participate in field campaigns, including data acquisition and processing. Assist with laboratory setup and
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conferences and external venues Collecting XAS data at synchrotron user facilities The initial appointment is for one year, with the possibility of extending it to two years depending on performance and
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, and teaching when available. Duties to include: Designing and executing experiments Maintaining databases Collecting and analyzing data Assisting with writing and revising manuscripts, grant
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approaches. The candidates will be responsible for designing experiments, generating data, analyzing data, presenting research findings at scientific conferences, writing manuscripts, and assisting in
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biomaterials, drug delivery, and craniofacial tissue regeneration. Design, conduct, and troubleshoot in vitro and in vivo experiments. Collect, analyze, interpret, and present research data. Prepare
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MD in neuroscience, biomedical engineering, computer science, psychiatry, neurology, or a related field Required Qualifications: Strong experience in (i)EEG and/or fMRI data analysis. Strong record of
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nearby subcellular structures such as mitochondria and the endoplasmic reticulum. The candidate will be responsible for designing, generating, and interpreting experimental data, collaborating with
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career development of trainees. Lab website: https://glykys.lab.uiowa.edu Position Responsibilities Record, plot, analyze and interpret data independently using electrophysiological and imaging
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image analysis methods together with subject demographic data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists
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approaches. The lab integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and