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. Probabilistic rational models, implemented as either Bayesian models or deep neural networks, have been proposed as standard models, from low-level perception and neuroscience to cognition and economics. But
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to accommodate the needs of outstanding candidates. The successful applicant will use a deep understanding of synthetic inorganic and organic ligand chemistry, as well as molecule preparation and
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the context of AI, as well as contribute to the design and development of AI-based systems to foster children’s agency. This work requires deep conceptual work on autonomy, agency, and education. It equally
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impact. With more than 15 years’ research experience post-PhD (or equivalent considering career interruptions), you bring deep expertise, strategic vision, and a commitment to mentoring the next generation
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system. Through state-of-the-art fieldwork, archival research, and laboratory analyses, data compilation, and quantitative modelling it connects observations from the deep past to present planning and
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their role in cellular stress responses. Experimental Design and Data Analysis Design and execute experiments using advanced techniques such as deep sequencing, mass spectrometry, iCLIP, phase separation
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experience internationally. Experience in the Healthcare/life science, pharmaceutical, or biotechnology industry. A deep grasp of needs, opportunities, challenges, and trends in the biomedical industry
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disease can truly shine! This is an opportunity for a bioinformatics-focused Postdoctoral Research Fellow to dive deep into the environmental drivers of type 1 diabetes, advance their expertise, and earn
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machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy. Research directions will be flexible and shaped according to mutual
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or Machine Learning). The Master’s thesis must be included in the application. Ideal Candidate: Demonstrates experience or strong interest in modelling, programming, systems thinking, and qualitative