88 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Belgium
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be maintaining a pool of diverse, complementary models that can be adapted to new problems through continuous learning. We will develop this methodology to address several applications within the life
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experience with data analysis Enthusiastic team player Basic understanding of immunology Desirable but not required Experience in single-cell or spatial data analysis Machine learning experience Key personal
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-Molecule Drug Discovery Strong foundation in computational methods (e.g. docking, molecular dynamics, QSAR, machine learning) Experience working across diverse target classes Demonstrated impact on
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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to substantive political science questions. You have strong skills in automated text analysis and natural language processing (e.g., machine learning including neural networks, relation and entity extraction
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. Kinetic rates will be calculated on the fly from molecular dynamics simulations using machine learning potentials. This approach will provide guidelines to steer the formation process of zeolites by tuning
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you obtain. The courses you will teach may include ‘Construction 1 & 2’ in the Bachelor Programme as well as ‘Advanced Construction’ and a research seminar in the Master Programme. Next to your teaching
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advantageous; candidates without prior experience should be motivated to learn. Comfortable working at the clinic–lab interface; excellent writing and communication in English (Dutch is an asset for patient
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is a plus Knowledge of network environments is an asset Key personal characteristics Structured and detail-oriented Eager to learn and able to persevere when facing technical challenges Communicative
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different disciplines, organize courses at the University of Antwerp and teach modules at the different universities in Flanders and during the FLAMES Summer School. The courses you will teach may include