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) experience with neural network training and language model fine-tuning; (2) background in natural language processing, linguistics, and/or human reasoning; (3) strong coding skills; and (4) strong
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Compensation Range: $62,232 – 75,564.00 annually; follows NIH stipend level by experience Work
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk
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. Candidates with interest and experience in the study of accreting black holes or neutron stars, and candidates with experience in multi-wavelength data analysis, coding pipelines for optical imaging
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. Our research will help safely design and operate satellites and maintain ground networks. In our research, we try to bridge our theoretical studies with high-performance computing to develop tools
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using neural network models, with at least 2 years of hands-on application. Experience with reading technical manuscripts. Three (3) years of experience writing clear and effective code documentation
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analysis of whole genome sequences Experience in bioinformatics, and coding. Excellent written and verbal communication skills, organizational skills, and attention to detail. Preferred Qualifications
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conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Possessing a
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368734 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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cardiovascular treatments. In this role you will apply both machine learning predictive modelling and human genetic analyses of non-coding regulatory sequences to identify cell-specific targets for coronary artery