934 development-"https:"-"https:"-"https:"-"Linnaeus-University" Postdoctoral positions in United States
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Field
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. The Luque lab has recently developed an interdisciplinary approach that integrates theoretical biophysics, molecular dynamics, machine learning, and bioinformatics to predict the capsid structures
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into the manifestations, causes, and treatment of schizophrenia. Essential Functions: • Developing new statistical methods to model multimodal neuroimaging data, multi-omics data, electronic health record (EHR
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) to collect structural and dynamic MRI data. ● Quantitative analysis: develop pipelines for dynamic MRI and physiological data; integrate multimodal metrics to uncover fluid-flow interactions
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. Micheal Zalutsky. The laboratory’s research focuses on the development of novel radioactive compounds for improving the diagnosis and treatment of cancer. The successful candidate will contribute to cutting
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testing of human subjects; assists PI with grant proposals to obtain outside funding from state and federal agencies; develops, adopts and implements new laboratory methods. Minimum Requirements: PhD, PsyD
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techniques, including cell culture, molecular and biochemical assays, metabolic analysis, imaging, and mouse handling and experimental work. This position offers an excellent opportunity to develop strong
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Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate statistical methods, prepare manuscripts for publication in
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and perform pharmacology and epilepsy research experiments with advanced methods and techniques in the lab. Develop approaches and scholarly activities including cutting-edge techniques to address
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Posting Description POSTDOCTORAL ASSOCIATE, Chemistry, will lead design and development of an open-source Python-based package for the prediction and analysis of spectroscopic data, primarily
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing