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Field
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Job Description This position requires expertise in laboratory research, bioactive compound analysis using advanced analytical instruments, and biotic and abiotic stress in agriculture. The role
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a curious and motivated post-doctoral researcher to join our research lab at the Rowland Institute at Harvard. Our research pursuits are primarily in the analytical/physical chemistry field and
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. Candidates must be able to independently plan, multi-task and complete projects. Ideally, the fellow will be expected to design and execute experiments, analyze data, write and prepare independent grant
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to coordinate research activities and meet deadlines in a fast-paced research environment are essential together with strong analytical skills and the ability to interpret complex data. You will have excellent
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acquire the right part of a specific course in a cost-efficient way. The aim of the project is to design new analytical and simulation models and solution approaches to support strategic and real-time
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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Presentation skills Analytical skills Attention to detail Responsibilities Research: Under general supervision, is responsible for conducting research into their field of expertise. Utilizes knowledge and skills
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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collaboratively within a team. Applicants must have a PhD in materials science and engineering, chemical engineering, or related field. Excellent experimental and analytical skills relevant to the project (in
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Qualifications Experience in electrophysiology and analytic methods for analyzing this type of data. Experience in computational neuroscience and modeling, as well as in the aging brain is desirable. FLSA Exempt