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Field
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, molecular and cellular biology, genetically modified mice, lung fibrosis models, single-cell RNA sequencing, and epigenetics. We are seeking a highly motivated postdoctoral candidate with prior experience in
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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.10.03.01/00/22_003/0000003, through the Just Transition Operational Programme. Job description: Research in biochemistry, protein biochemistry and proteomics focused on investigating the molecular mechanisms
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cancer metabolism, with particular expertise in the study of tumor metabolism, as well as proven experience in the establishment, culture, maintenance, and characterization of tumor organoid models and
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-adaptation of pathogenic Leptospira. Qualification: An expertise in cell biology, molecular biology, transcriptomic and genomic analysis, imaging and/or infectious models will be appreciated. Starting Date
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structural data. Develop workflows for time-resolved crystallography data processing. Integrate molecular dynamics with AI/ML methods. Benchmark protein foundation model performance and integrate them with
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language models, reinforcement learning, agent learning, robotic control; (4) quantum materials simulation, density functional theory, catalysis and transition-state theory, molecular dynamics; (5
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first- or co-first-author peer-reviewed publications, and prior research experience in any of these areas: molecular cloning, confocal microscopy, biophysical modeling of transcription, gene regulatory
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cellular disease models, particularly in vitro models using cardiomyocytes or stem cells. Other preferred expertise or research experience includes molecular cloning, primary cardiac cell isolation, genome
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Dr. Playdon’s research, visit her faculty profile https://profiles.faculty.utah.edu/u6017378 . Details about the NIH-funded project (1R01CA313949) can be found on NIH RePORTER: https://reporter.nih.gov