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Field
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capable of stereotaxic surgery and handling delicate recording probes. They should be strongly self-motivated, ambitious, and able to use Python and/or MATLAB to analyze neural and behavioral datasets
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, excellent study results, high proficiency in programming (preferably in Python), good communication skills with sufficient proficiency in oral and written English, personal characteristics such as a high
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strong interest in developing new theory and methods for signal processing and machine learning strong mathematical background good proficiency in programming (preferably in Python) good oral and written
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areas: AI/ML, image processing, molecular modeling and docking ‒ Strong experience in Python and C++ programming (knowledge of Fortran is a plus) ‒ Strong interest in interdisciplinary research bridging
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have experience in academic writing. You should have experience with the usual tools for advanced experiments: programming experience: MATLAB, Python, LaTeX. You have excellent command of written and
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in academic writing. You should have experience with the usual tools for advanced experiments: programming experience: MATLAB, Python, LaTeX. You have excellent command of written and spoken English
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modeling (60%); b) Experience in participating in research projects (20%); c) Experience in programming in Python and related languages (20%). 10. Composition of the Selection Jury: Ana Isabel Pereira José
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or signal analysis • Programming in Python or R • Statistical modelling Applicants without prior AI experience are encouraged to apply, as structured AI/ML training will be provided. Dairy Cattle Welfare
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Vision-Language Models (LVLMs). Knowledge and experience in pre-training and fine-tuning of LLMs/LVLMs. Knowledge of Retrieval-Augmented Generation (RAG) using LLMs. Programming experience in Python, data
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, preferably in R or Python; Have, or will shortly acquire, a quantitative master's degree (for example, in Health Economics, Econometrics, Technical Medicine, Industrial Engineering, Biomedical Engineering