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sensing, analytical chemistry, materials characterization, organic synthesis, nanomaterials, environmental monitoring, or water quality research. Equipment Use of personal computer and proficiency in
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preferred) to develop analytical tools needed to monitor and characterize micro and nanoplastic (MNP) particles. The applicant will use commercial optical photothermal infrared (OPTIR) microscopy and other
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external fundings when appropriate. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team
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Stanford Securities Litigation Analytics is a research center within Stanford Law School focusing on public company shareholder litigation and corporate governance matters. SSLA closely collaborates with
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Fellow will strengthen our analytic capabilities by using Python and AI-enabled methods to extract, classify, and summarize insights from unstructured data, including text, images, and other digital
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10 Apr 2026 Job Information Organisation/Company Università degli Studi di Napoli Federico II Department Department of Translational Medical Sciences Research Field Biological sciences » Biology
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, and data analysis to define the role of key pathways underlying pituitary tumorigenesis and adrenal cancer growth and response to therapy. The position will also be involved in direct training and
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analytical methods. Executing measurements using developed methods, analyzing data, and interpreting results to draw meaningful conclusions. Disseminating research findings through peer-reviewed publication(s
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energy, water, food, and waste. You will play a key role in the project’s conceptual development, undertake qualitative data collection and analysis, and co-author publications that support environmental
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in computer science, computer engineering, or relevant disciplines Enthusiasm in the Deep learning and AV related research Proficient in paper writing and presentation Possess strong analytical and