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Associate to join the Scientific Communications and Data Analytics Office. This role is ideal for a candidate with a strong background in medical sciences, preferably in endocrinology, metabolism, or diabetes
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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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analytical and writing skills. Additional Information: Location: Comprehensive Cancer Center (0363) Position Type: Term (Fixed Term) Scheduled Hours: 40 Shift: First Shift Final candidates are subject to
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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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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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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
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for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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data analysis/spectral image processing. Use of data analytics or machine learning to guide process design and optimization. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long