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Field
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-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity to interrogate publicly
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organization, or summit coordination. Experience with modeling tools. Familiarity with poultry feed formulation software for research applications. Proficiency in laboratory techniques and use of analytical
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inorganic materials synthesis, heterogeneous catalysis and advanced analytical techniques including synchrotron radiation experiments. Applicants should also have experience in catalyst production systems
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. Background: Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/ . Inquiries about the position can be made to Jakob Magid (jma@plen.ku.dk
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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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the area of analytical aeroacoustics. The position is concerned primarily with the sound of unsteady vortex flows and their interactions with edges. The position requires a PhD in engineering or a
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advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level policies and procedures and safeguards
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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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] Subject Areas: Computational Biology / Data Analytics Machine Learning / Machine Learning Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering