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EARS – Ref. NORTE2030-FEDER-00542300 – 1432, co-funded by the European Regional Development Fund (ERDF) through the Northern Regional Programme 2021-2027 (Norte2030) and Portugal2030, under the following
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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associate will work both independently and collaboratively to develop and apply novel deep learning algorithms and/or computational chemistry methods for small-molecule drug discovery targeting RNA
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to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust, interpretable models from experimental and operational data
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
applicant will contribute to the AIGLE project by: · Developing innovative scientific Deep Learning/Machine Learning algorithms for flash flood forecasting. · Contributing to the collection
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university community. Key Responsibilities: Conduct comprehensive literature reviews to identify existing solutions and their limitations, and develop advanced NLP algorithms for multimodal data. Design and
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algorithm development and system performance. Technical Focus Areas Computer Vision and Model Development: Design and train deep learning models for insect classification and morphological recognition
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graduate to work full time on a 27-month Knowledge Transfer Partnership (KTP) to develop an advanced aftermarket sensor-led condition and monitoring solution upgrade for the EDM engineering processes
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algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages