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Field
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Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence modeling architectures and interpretable AI methods (SHAP, Integrated
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following programming languages: R or Python. Proficiency in Microsoft Office (including Outlook, Word, Excel, PowerPoint). Ability to work independently, but collaboratively on multiple projects. Ability
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analysis of high-dimensional data (e.g., single-cell RNA-seq, phylogenetics, spatial data). Experience in R or Python. Application instructions: Please send a CV and a brief cover letter describing your
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glasses), software pipelines (using Python libraries like BrainFlow, MNE-Python, and EEGLAB), and real-time data processing for applications like WebGrid-based motor-imagery classification. The role
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computing is strongly preferred. Training or demonstrated research experience in healthcare applications is a plus. SKILLS: Strong programming skills (e.g., C#, C++, Python) Proficiency in XR development
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
evaluation. Demonstrated proficiency in programming (Python required). Ability to work independently while contributing to collaborative, interdisciplinary research efforts. Knowledge, Skills & Abilities
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, energy poverty, and energy security Prior experience in qualitative, quantitative, or mixed-methods research. Technical competence in data analytics, programming, or modeling using tools such as Python, R
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) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence modeling architectures and
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data analysis skills, including experience with R, Python, MATLAB • Excellent written and verbal communication skills • Strong organizational and interpersonal skills and ability to work collaboratively
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field. - Evidence of strong prior experience analyzing large datasets using advanced econometric and statistical methods (using R, Stata, and/or Python). - Strong interest and experience working