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: · A completed M.Sc. degree in computer science, machine learning, and related fields. · Strong proficiency in English (the working language of the institute). · Capability and willingness
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must be obtained prior to the start of employment. PREFERRED QUALIFICATIONS Experience with big data tools, ETL processes and machine learning programs or cloud platforms is preferred. COMMITMENT
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systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in
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with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design
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a form suitable for quantum computing, calling for a cost-benefit analysis of quantum machine learning algorithms. To address scalability for large datasets, lossy data compression is often
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of machine learning to the practical tools of deep learning, now available through modern foundation models. For the theory part, the selected candidate will work in close collaboration with
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on the career stage), in any area of psychology. In line with our strategic priorities, we are particularly keen to appoint colleagues with strong statistical expertise (big data, longitudinal
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expertise spanning the full breadth of operations research, including large-scale optimization, applied statistics, military logistics, warfare analysis, and critical infrastructure resilience. Our students
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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, Technology and Information in Human-Computer Interaction (HCI), with a focus on responsible computing. The successful candidate will have an interest in online safety, including areas such as social media