1,485 evolution-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S"-"U.S" Postdoctoral positions
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to proposal/experiment planning. The postdoc will interface directly with visiting researchers to execute experiments at the beamline, including hands-on support during beamtimes and development of practical
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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, followed by in vitro and in vivo profiling, of novel therapeutic agents and then the optimization of synthetic processes to prepare such compounds to meet key development objectives and milestones
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reprogramming that occur during cancer development by affecting redox pools and metabolic adducts required to support them. If so, then in cancer metabolic dysregulation will be a co-evolving property of
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side projects and participate in professional development activities as a basis for development of an independent career. UVM is an R1 research university guided by Our Common Ground values
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development in vivax-type malaria parasites. To unveil unique parasite biology, we will combine state-of-the-art omics, gene editing, and imaging technologies in a highly collaborative setting. We need your
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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids
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translational and scalability considerations. Responsabilities: Lead the development of hybrid foundation model–graph neural network architectures for gene perturbation prediction, including the design and
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-clinical immunology and vaccine development programmes, focused on outbreak-related pathogens including filoviruses such as Ebolaviruses, arenaviruses such as Junín, and Bunyaviruses such as Crimean–Congo
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proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing