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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial
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around the identification of small molecules using mass spectrometry data, and the use of language models to predict the existence of undiscovered small molecules that are likely to be observed by mass
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and programming experience (e.g., R or other languages) This one-year appointment is expected to be renewed for a second year based on satisfactory performance and continued funding. Research staff
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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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, experience with a variety of programming languages, and familiarity with critical path planning tools, are essential. A Ph.D. in engineering, operations research, computer science, or another related field is
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of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various subdivisions of the squamate body plan
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microscopy and/or structural biology; Fluent in English language and writing skills. Some experience in cryo-EM or eukaryotic protein expression is a plus.The successful candidate will join a highly
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English language and writing skills. Some experience in cryo-EM or eukaryotic protein expression is a plus. The successful candidate will join a highly collaborative group with extensive expertise in challenging