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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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Infrastructure? No Offer Description Work group: IAS-8 - Datenanalyik und Maschinenlernen Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student in machine learning to work within
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-controlled code, build automation, peer-reviewed codebases Git and GitHub for version control and project management AI-assisted programming tools (LLM-based coding agents) to speed up day-to-day research work
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analysing the outcome of high throughput imaging, enzyme activity and cellular toxicity assays and cellular lipid measurements. Perform quality control analyses on data and suggest methodological improvements
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., GIS/QGIS tools) Writing structured, reproducible, and version-controlled code Exposure to both empirical and, where relevant, structural and theoretical approaches Writing and presenting research
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should hold a PhD degree or an equivalent qualification in management science, operation research or other relevant fields for no more than five years prior to the commencement of the appointment
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combine computational design, experiments, and system-level evaluation in a phased approach, focusing particularly on novel devices such as optical beam steering in PIC with CMOS-based control as a critical
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Posting Title Graduate PhD Student (Year-Round) Machine Learning Applications for Cyber-Physical Power System Operations Intern . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | 3 months ago
. PhD Studentship Overview Adolescents spend most screentime on smartphones for social media, gaming and communication. Recent global policies banning or restricting phone use aim to reduce harms related
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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | 2 months ago
that maximise accuracy, minimise suggestibility, and meaningfully incorporate the child’s voice into decision-making. This interdisciplinary PhD will address three connected research questions using a