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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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for developing AI algorithms: NumPy, Pandas, Matplotlib, PyTorch. Development and implementation of machine learning and AI algorithms based on neural networks and deep learning. 3.3. Additional education (maximum
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ACTIVITIES IN THE RESEARCH AREA OF DEVELOPMENT OF AN ADVANCED PLATFORM FOR THE DIAGNOSIS AND TREATMENT OF NASAL OBSTRUCTION USING 3D MORPHOMETRY, FLUID MECHANICS AND MACHINE LEARNING AUTOMATIC. (C-059/25
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Skills/Qualifications Technical Competences: Programming: Python, Java, JavaEE, JavaScript, R, Android. Machine learning/AI frameworks: PyTorch, TensorFlow. LLMs (Large Language Models): Prompt Engineering
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sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining
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research 0 A5 Experience and training in managing techniques and methods necessary for the execution of the project: - Computational neuroscience and machine learning 20 A6 Stays at universities and/or other
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22 Oct 2025 Job Information Organisation/Company Universidade de Vigo Department T03 Mechanical Engineering, Machines, and Thermal and Fluid Motors Research Field Engineering » Mechanical
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Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa | Spain | about 1 month ago
programming (Python, Matlab, etc.) as well as in modeling polymerization processes or using machine learning techniques is highly desirable. Good command of written and spoken English is a must (if preselected
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phenotypic ontologies (HPO) and phenotype-genotype analysis. Knowledge of machine learning tools applied to genetic analysis. LanguagesENGLISHLevelExcellent LanguagesCATALANLevelExcellent
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Networks and Services (PONS) Research Unit (https://www.cttc.cat/packet-optical-networks-and-services-pons/ ) is looking for a PhD candidate to actively participate in the team activities in the framework