160 parallel-programming-"DIFFER"-"Humboldt-Stiftung-Foundation" PhD positions in United States
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the Department of Chemistry at the University of Iowa is searching for one or two postdoctoral research scientists to investigate two different projects: Project 1: Effect of a Change Agent in Doctoral Education
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demonstrated a proven record of accomplishment in high-quality research, as reflected in high-impact publications and the potential to build a sustainable, externally funded research program. Preferred
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biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan, execute
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help manage and contribute to our program in ex vivo human cell biology and in vivo rodent models, focused on deciphering the cellular and molecular basis for neurodegenerative diseases, including
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research program focused on spatial immuno-oncology, utilizing cutting-edge technologies (e.g., spatial transcriptomics, spatial proteomics, imaging mass cytometry) to study the tumor microenvironment
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of characteristics such as age, culture, different ideas and perspectives, disability, ethnicity, first-generation status, familial status, gender identity and expression, geographic background, marital status
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Diseases. Reporting to the Section Chair, the Data Science – CDM faculty are expected to develop, sustain, and lead an active, obvious, externally funded research program with outstanding scholarship and to
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inducible pluripotent stem cells (iPSC) cells from patients (healthy and those of patients with cardiovascular diseases) as a platform to investigate the function of different G protein-coupled receptors
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Established record leading publications A collaborative approach and ability to work independently Experience with interdisciplinary methodologies and the integration of different data sources is preferred
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) Strong programming and quantitative skills, including coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models