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with a minimum of one year eligibility remaining. •Strong expertise in first-principles modeling or molecular simulations relevant to catalysis, and experience with machine learning models. •Deep
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system using mouse models. Techniques may include confocal imaging, brain slice electrophysiology, in vivo manipulations, molecular biology, and behavioral analysis. Genetic mouse models will be applied
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About the role As the Postdoctoral Researcher within the Division of Cardiovascular Medicine, you will explore the molecular mechanisms of atrial fibrillation and cardiac fibrosis in humans and
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regulatory mechanisms in stem cell biology or cancer models Develops and implements high-throughput sequencing approaches and molecular biology techniques Collaborates with laboratory members, computational
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 days ago
. Practical knowledge of Python, clean coding practices, and reproducible ML workflows. Familiarity with protein structure, biophysics, or molecular modeling (MD, docking, etc.) is highly desirable. Ability
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Previous Job Job Title Post-Doctoral Associate - Molecular Medicine Next Job Apply for Job Job ID 371262 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular
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immunology, nanotechnology, materials science, and molecular engineering, bringing together tools such as flow cytometry, animal models, and bio/nanomaterial synthesis. Our long-term goal is to establish
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(IDH1/2) genes and this project focusses on how these mutations re-program liver cells, in the context of biliary cancer. We are using CRISPR-edited human cells and novel transgenic models in mice
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models, histology, cell culture, differential expression analyses, and molecular biology assays, our lab studies the molecular mechanisms that regulate metabolic processes and iron homeostasis both in
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https