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knowledge and be able to manage your own academic research and associated activities. You will have excellent communications skills, including the ability to write for publication, present research
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, spiroergometry, and dietary assessments Excellent German and English skills, both written and spoken Strong team player with excellent social and communication skills Resilience and high level of motivation What
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Engineering, or any closely-related field. Excellent communication skills in English, the ability to work in multi-disciplinary teams, and scientific creativity are essential. NYUAD offers a stimulating
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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community network. Furthermore, we regularly enjoy social activities together outside of working hours. Responsibilities and qualifications The project aim to study the application of metal-organic thin films
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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separation processes. Strong attention to detail, excellent organizational skills, and exceptional verbal and written communication abilities are essential. The candidate should be capable of working both
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or multilayer networks, applied to biological data • Familiarity with HPC environments is highly desirable • Programming skills in R, Python or equivalent • Excellent communication skills in English
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with