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, linked to a radioisotope emitting ionizing radiation. During their preclinical development phase, these therapeutic agents are administered to tumor-bearing rodents undergoing longitudinal small-animal
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Minnesota State Colleges and Universities, System Office | Winona, Minnesota | United States | about 1 month ago
is available online at https://www.winona.edu/about/safety-security/. You may also request a paper copy from University Security by emailing security@winona.edu.Winona State University is an Equal
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. Proficiency in at least one of the following: hydrologic modeling, energy systems modeling, systems simulation, or machine learning/AI. Ability to work effectively on interdisciplinary, team-based research
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volatile geopolitics. Shortages, trade frictions, and financial mismatches can stall otherwise viable tipping dynamics and establish carbon-intensive lock-ins. This PhD will develop an agent-based inspired
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simulation platform, BEHAVIOR is a combination of simulation software and data assets intended to support robot learning use cases, such as training learning-based agents (e.g. in paradigms such as
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Deadline 31 Jan 2026 - 23:59 (Europe/Rome) Type of Contract Other Type of Contract Extra Information A renewable 4-year appointment, with a pathway to a permanent position based on performance (KPIs and
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of Coimbra, with the ambition of developing innovative platforms incorporating therapeutic agents (e.g., nucleic acids, small molecules, peptides), involving mRNA for gene therapy. In the context
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-wide initiative to build foundation models that simulate the evolution of tumor ecosystems. You will be the lead engineer contributing to large-scale generative modelling on single-cell, spatial-omics
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sciences, economics and regulation. Job description The project of the PhD student based at CWI in Amsterdam will focus on techno-economic models (and in particular multi-agent modeling) of energy exchange
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simulation platform, BEHAVIOR is a combination of simulation software and data assets intended to support robot learning use cases, such as training learning-based agents (e.g. in paradigms such as