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journals. Experience in managing research projects, including budgeting and team coordination. Demonstrated fluency in the statistical programming language R. Familiarity with Areal Apportionment package in
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, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
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or numerical computation Familiar with Matlab, C++, Python, Java, or other programming language, or proficient in one of the software packages: PFC, VISSIM, ABQUS, COMSOL, MOOSE, LS-DYNA, optimization
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bioinformatics pipelines for next generation sequence processing. Programming skills in R, Python, or another language and ability to work in Unix-based systems. Expertise in statistical genetics methods in plant
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qualitative research methods. Experience working as part of an interdisciplinary research team. Experience with research-practice partnerships. Speak a second language, Spanish preferably. Additional
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of existing ones for scientific and security applications; (ii) ML models for natural language processing (NLP), including Large Language Models (LLMs) and multi-modal, multi-task Foundation Models; and (iii
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applications; (ii) ML models for natural language processing (NLP), including Large Language Models (LLMs) and multi-modal, multi-task Foundation Models; and (iii) techniques supporting stakeholders and end
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with a diverse cohort of researchers and collaborators. o Programming competence in some computer language and the flexibility to learn a new one. o Bonus: Prior experience working with genomic sequence