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with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design
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. This information will be kept confidential and will not be used for any discriminatory purposes. LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed
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one first-author published manuscript in relevant field Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Experience working with and supporting large-scale
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 3 hours ago
) beamline. The position offers the opportunity to play a leading role in designing and performing time-resolved experiments, analyzing spectroscopic data, and interpreting results in close collaboration with
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collaboration with healthcare practitioners and working with large-scale data. The candidate will be required to relocate to Houston, home to one of the world's largest medical centers. The initial term
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description. The applicant must have excellent professional proficiency in English (written and spoken). Required: Strong knowledge of how to use AI and large language models (LLMs) for data extraction
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. The requirements listed above are representative of the knowledge, skill, and/or ability required. This position has supervisory duties? No Posting Detail Information Number of Vacancies 1 Desired Start Date
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with such models. Experience with machine learning methods applied to biological data. Familiarity with large language model APIs and frameworks (e.g., Claude/Anthropic API, OpenAI API, LangChain
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, large language models, or computer vision is preferred Knowledge, Skills and Abilities: · Teamwork: Ability to collaborate with others and contribute to a team environment · Communication
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case an applicant does not wish to be registered on the public application list, the applicant will need to give a reasonable justification. Information about the applicant can still be published