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and Performance of Research Experiments (75% of Time Spent) Mechanism based discovery of cancer therapeutics. Characterization of metabolic processes of leukemia stem cells. Use of animal model systems
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, and to interact regularly with Dr. Jonathan Campbell to design and execute experimental studies involving animal and cell-based models of metabolic disease. In addition, will also perform the following
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Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 17 August 2025 Apply now How and why did
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
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– Collins Laboratory Position #00836201 – Requisition #37086 Job Summary: This position reports directly to Dr. Cailin Collins, MD, PhD, and will work within Dr. Collins’ laboratory personnel, a component of
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particularly the CAND multiscale drug discovery platform developed by the Division of Bioinformatics at the University at Buffalo: Integrating the CANDO drug discovery platform with LLM-based reasoning models
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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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microbial agents affect beta cell function and modulate the immune system. This research includes working with both human and mouse models to analyze immune responses, microbial influences, and the potential