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the detection of anomalies in the manufacturing process of unique industrial components. Different alternatives will be explored and analyzed, in the field of machine learning, that allow relevant information
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the capability of the commercial tools; Conduct research into and analysis the energy usage of different scenarios; Write reports and mapping the total energy usage; Thinking of ideas for actionable options
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supporting services Contributing to and influencing software architecture, including microservices‑based implementations Building and maintaining robust backend services using Python (Django) and Node.js
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, wellbeing, and adaptive capacity across different community settings, including migrant and mobile populations. The successful candidate will support research design, data collection and management
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, tackling neurobiology's toughest challenges through innovative computational research. Join us, simplify the intricate, and make a real difference. This position emphasizes time-series analysis to advance
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and datatables from different sources to develop analytic datasets as a single file. Ability to produce visual tools that highlight the essential information from a project or study. Ability to learn
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methods (e.g., difference-in-differences, instrumental variables, propensity-score methods) and selected machine-learning algorithms. Write reproducible code in Stata, R, SAS, or Python; summarize and
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on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences? Join us! We are looking for a PhD candidate to join
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., regression, survival analysis, causal inference, difference-in-differences) Apply machine learning methods (e.g., classification, clustering, predictive modeling) where appropriate Evaluate model
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discipline. Strong programming experience (Python preferred) is essential. Experience in medical imaging, machine learning, biomedical engineering or image analysis is desirable, but is not essential. Start