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of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine
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formulations to improve pharmacokinetic, pharmacodynamic, and therapeutic properties of investigational agents. Design and perform experiments evaluating formulation performance in cellular and animal models
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Experience with developing AI/ML Deep Learning models, working with agentic workflows, model training and other emerging AI techniques and tools Programming experience in Python, C++, or similar scientific
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(1-2) Applicants with expertise in one or more of the following areas are encouraged to apply: * Foundation Models * Agentic AI * Reinforcement Learning * Medical Image Analysis Position 2: Intelligent
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with molecular assays (cell cultures, histology, PCR, Gel Electrophoresis, qPCR, etc.). - Experience with data management, statistical analysis (including but not limited to, probit models
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of collaborative watermarking to diffusion models and audio language models based on neural audio codecs. Studying whether watermark information can be embedded in long-term content, such as speech semantics
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noncrystalline biological and materials systems; NMR-based studies of antibacterial agents, their interactions with bacterial cells, and their mechanisms of action; and Integration of NMR with complementary
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learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an
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compounds that enhance the activity of existing antifungal agents, reverse antifungal resistance, and reduce drug-associated toxicity. These studies build on our recent publications describing pantothenate
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
bioengineering (Bock Lab , CeMM/MedUni Vienna)Building on our CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature Biotechnology ), we develop agentic AI and “virtual cell