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Field
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, the applicants should have: PhD diploma in Transportation, Logistics, Civil Engineering, Mechanical Engineering, Maritime Engineering, or any other related field. Experience with agent-based modelling is essential
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, applying state-of-the-art methods to cutting-edge biomedical questions.Design, implement, and evaluate ML and foundation-model approaches, including LLM-based solutions, for scientific text mining
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(R3) Leading Researcher (R4) Positions PhD Positions Application Deadline 3 Sep 2026 - 16:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
-powered research agents for bioinformatics and bioengineering (Bock Lab , CeMM/MedUni Vienna) Building on our CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature
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delivery and translational cancer research, within a dynamic, inclusive and clinically directed research environment. You will be responsible for: Developing and characterising flexible lipid-based
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at the interface of microbubble formulation chemistry, acoustics, and biomedical engineering, advancing hemoglobin-based microbubble platforms from in vitro proof-of-concept toward in vivo validation
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package III develops and tests remedies against the harmful effects of this rhetoric, using generative agent-based simulations and AI-chatbot-based dialogue experiments. The two postdocs advertised in
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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
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necessary for its scientific activity, as well as the design, development and use of instruments. The PhD student will work in the RAPHYNEE (RAdiochemistry and PHYsics for Nuclear Energy and Environment
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of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised