24 machine-learning-phd-in-denmark Postdoctoral positions at The University of Arizona
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Associate with background on AI and machine learning for wireless networking and communications. The successful candidate will work under the direction of Dr. Marwan Krunz, Director of the Wireless
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spearhead technical development, data analysis, and publication efforts for a student-led initiative using OpenBCI hardware, EEG recordings, eye-tracking integration, and machine learning to enhance neural
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human and artificial intelligence to improve learning and well-being. Knowledge and experience in human-centered intelligent system design, learning analytics, AI in education, and/or machine learning
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metabolism, epigenetics, bioinformatics, or CRISPR will be preferred. Candidates must have a PhD, MD, or MD/PhD degree, and be self-motivated. The candidate is expected to carry out projects independently with
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PhD in Earth System Science, Paleoclimatology, Climatology or related field, awarded by the start of the position. Experience in dendrochronological sample preparation, cross-dating, tree-ring measuring
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tabular, oral, written, and/or graphic formats. Minimum Qualifications PhD in a related field, or MD degree in Medicine. Preferred Qualifications Expertise with multicolor flow cytometry. Experience with
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reports and manuscripts and present findings in tabular, oral, written, and graphic formats. Excellent written and verbal communication. Minimum Qualifications PhD in biomedical science, molecular biology
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neurotoxicity and micochondrial dysfunction in neurodegeneration. The ideal candidate should have just completed, or be nearing completion of a PhD in biology or related majors. Peer-reviewed publication record
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of desalination and/or energy systems, and techno-economic assessment of advanced water treatment systems. Minimum Qualifications PhD in Environmental Engineering. Selected applicant must have PhD conferred upon
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to independently develop reports and manuscripts and present findings in tabular, oral, written, and/or graphic formats. Minimum Qualifications PhD or MD, PhD degree in cardiovascular biology, molecular biology, or