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Field
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possibility to go beyond discretization biases is to use of implicit regularization given by neural radiance fields [MST+21] which have been showed to be effective in the continuous representation of scalar
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genetics in the UK Biobank About you… The essential criteria you will bring… PhD in Developmental Biology, Cell Biology, Computational Biology or in the final stages of PhD submission Strong level of
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levels of responsibility. or PhD in Computer Science, Machine Learning/Artificial Intelligence and Data Science and 2 years of Experience using and developing ML/AI-based tools (e.g. large- and small
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/national societies. The ideal candidate would hold a PhD in Neuroscience, Molecular/Cell Biology, Cognitive and Neural Systems, Computational Science, Communications Science, Bioengineering, or other similar
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tuning. Leads and conducts technical workshops or training sessions for faculty, PhD students, and staff, and develops high-quality documentation and user guides to support AI/ML uptake across Booth
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the internal computations and circuits within large models. Can we reverse-engineer the "algorithms" that a neural network has learned? Value Alignment & AI Ethics: How do we formally define and embed complex
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, 2025 Salary: $11,090.00 Teaching Qualification Requirements: PhD or candidate in Exercise Physiology or equitant field. Experience: Candidate must have prior experience with teaching at
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Process Induced Neural Networks for Environmental Data Analysis and AI for Data Adjustments Green Industrial Futures Centre for Doctoral Training (GIF CDT) PhD Research Project Directly Funded
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computational techniques. Engage with neural network generative models to explore new ways of enhancing system resilience across various domains. Stay abreast of the latest developments in resilience research
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tenure-track faculty in all aspects of biology, including cancer and cancer immunology, stem cell biology including neural stem cell biology, aging, radiation effects, and metabolic and degenerative