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Field
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
the field of environmental analytical chemistry and will focus on technical and conceptual developments in non-target screening, primarily of per- and polyfluoroalkyl substances (PFAS). Building on previous
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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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. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics for real-time battery health monitoring and fault detection. Collaborate with
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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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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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collaborative. The Post-Doctoral Research Fellow works on funded research projects as part of a team with other subject matter experts, contributing to the development of a data-driven digital twin for fibers
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. Information on the institute can be found at www.globe.ku.dk . The research will be conducted at the Center for Global Mountain Biodiversity, a Villum Center of excellence led by Professor Carsten Rahbek
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Commonwealth and Development Office (FCDO) aimed at providing active fault maps and information about earthquake potential and related hazards in proximity to major hydropower developments in Kyrgyzstan. The
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and attention to detail; Proven technical and analytical skills; Ability to troubleshoot an experiment as necessary. Proficiency with a computer; Knowledge of math and statistics, experience with PRISM
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T32 funded slots), pre-doctoral internship and graduate student practicum levels. The Department also maintains comprehensive clinical-research and data science resources. Shared institutional resources