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Field
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of delivering drugs or therapeutic agents to intracellular “undruggable” antigens, thus overcoming conventional antibody-based therapy limitations. Specific Objectives Identify and validate intracellular antigens
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the possibility of yearly renewal subject to funding availability. Responsibilities • Design and implement deep learning architectures, AI agent pipelines, and computer vision algorithms to achieve project goals
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at the Rowland Institute at Harvard (https://www.rowland.harvard.edu/). Our lab's primary focus is on bacterial-encoded domesticated viruses, known as gene transfer agents, that package random sections of the host
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invites applications for 1-3 Post-Doctoral Fellow (PDF) positions in BIM and LLM (Ref. no. 532733). Appointments will commence as soon as possible, with the possibility of renewal based on performance and
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foundation in at least a few of the following areas: high-mobility materials based printed electronics, transient electronics (various sensors, circuits, energy devices etc.), degradable materials, micro
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the crisis of multilateralism and debates on organisational culture, principal-agent relationships, and micro-level responses to macro-level ambiguity. Where you will work The mission of the Faculty
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Campus Address Tucson, AZ USA Position Highlights The selected candidate will conduct research associated with the DoD-funded project "Nonlinear Oscillator Synchronization and Multi-Agent Consensus
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Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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contract, with the possibility of renewal based on performance and funding availability. Key Duties and Responsibilities Manage and lead related research projects; Assist in preparing competitive grant