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programme Reference Number AE2026-0217 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0217
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Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine
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of other Postdoctoral Fellows / PhD Students in different campaigns Where to apply Website https://apply.refline.ch/673278/3948/index.html?lang=en&cid=1 Requirements Research FieldChemistryEducation LevelPhD
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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the team and the customers. Be self-directed to fulfil the project requirements. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a
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confident in handling the relevant data and be competent in programming on either MATLAB or Python. You will also be enthusiastic about building and troubleshooting your experimental rig. You will have the
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Disease Prevention and Health Promotion in the Division of Nutrition, Physical Activity, and Obesity (DNPAO), you will engage in a training experience involving Active People, Healthy Nation (https
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, neuroimaging, physiological, and immunological data within unified theoretical frameworks. Our work has been published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https