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About the Opportunity JOB SUMMARY The Learning and Brain Development Lab (PI: Juliet Y. Davidow) at Northeastern University in Boston, MA, USA (https://lbdlpsych.sites.northeastern.edu/) is excited
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, with a view to developing and carrying out the above-mentioned project and related scientific activities, with a particular focus on the development of analytical models (data science – machine learning
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AI and related areas such as large language models (LLMs), prompt engineering, and machine learning. You are proactive about staying current in a rapidly evolving field. Rather than waiting for trends
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reliable data pipelines that power machine learning models, analytics platforms, and enterprise reporting. They will have responsibility for sourcing, cleaning, validating, and integrating data across
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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processes. Your responsibilities will include: Conducting high-quality research on the suitability of available methods to model metal-ligand complexes in water, with a focus on machine learning techniques
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questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
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following use cases: • The construction of a machine learning pipeline that allows the conversion of Course Unit Sheets (CUS) into a data structure based on the European Learning Model (ELM). • Integration
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of a call for awarding a research fellowship (RF) in the scope of the research project AQUALEARN – Machine learning-based digital twins for real time anomaly detection in water supply systems. 3
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https