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& Utilization of Resources; (2) Cycling and Extraction of Key Metal Elements; (3) Recycling of Wind, Battery, and Photovoltaic Equipment; (4) Energy Conversion and Storage; (5) Energy-saving Materials and
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dynamic, uncertain worlds. Multi-Objective & Black-Box Optimization: Real-world problems rarely have a single, simple objective. We research methods to navigate complex trade-offs (e.g., performance vs
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multimodal models. Research and implement advanced pre-training, fine-tuning, and alignment techniques (e.g., RLHF, DPO, constitutional AI). Explore new methods for controllable generation, creative content
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elements: * A brief description of the academic ties and collaborations with the applicant (e.g., collaboration on research projects, thesis supervision, teaching, etc.); * A description of the main skills
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. - Three letters of recommendation, which must be sent independently by their authors. It is requested that, if possible, the recommendation letters include the following elements: * A brief description of
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, which must be sent independently by their authors. It is requested that, if possible, the recommendation letters include the following elements: * A brief description of the academic ties and
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requested that, if possible, the recommendation letters include the following elements: * A brief description of the academic ties and collaborations with the applicant (e.g., collaboration on research
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, Semi-supervised and unsupervised representation learning, machine learning method development and in particular, applicants with experience in digital pathology. Applications from underrepresented
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the research fields as follows: (1) Sustainable Exploitation & Utilization of Resources; (2) Cycling and Extraction of Key Metal Elements; (3) Recycling of Wind, Battery, and Photovoltaic Equipment; (4) Energy
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sciences. Since cancers are complex systems, biomedical discovery in oncology depends on the ability to develop methods that can extract novel insights from data. The Sottoriva Lab in the Computational