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TensorFlow. The successful candidate will be able to develop, implement, test, troubleshoot, and optimize AI/ML solutions; automate analytical workflows; investigate complex computational or system issues
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to best practices: ethics, animal experimentation regulations, and current standards. -Data processing and analysis:Cleaning, structuring, and annotating datasets for optimal use. Analyzing raw results and
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project OPTiMiSE – Optimal Transport and Metric Structures for Evolution Problems, which aims to develop new mathematical methods for the study of evolution problems through optimal transport theory, metric
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forward to receiving your application! Your work assignments The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy conversion
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structures, targeting improved optical confinement, passivation, and loss control in nanoscale photonic devices. In this project, you will be embedded in the PhotonDelta NGF program. Agentic AI for ALD
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Intelligence (LLMs, RAG) and Cloud services. Functions to be developed: Assist in optimizing data ingestion, preparing datasets, and designing vector database structures/bases for semantic queries. Design
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use qualitative methods such as field observations, focus group discussions, semi-structured interviews, and participatory/ co-creation of maps. More specifically, you will: Travel to Brazil to conduct
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maintain optimal data lake, data mart, data warehouse, and data integration architectures. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and
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, determination of optimal embeddings and encodings for protein structures, multiple structural alignments, relevant artificial intelligence (AI) approaches such as CNNs and transformers, and protein structure
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to optimize performances. The postdoc will carry out structural and morphological characterizations (X-ray diffraction, TOF-SIMS, AFM, and microscopy) of the selected superconducting materials. In the second