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Field
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of research collaboration with a mutual exchange of methodological and technical expertise but must also contain a well-defined training element and a qualification plan must be established for the scholarship
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on the basis of a person's age (40 or older), disability, whether actual or perceived by others (including service-connected disabilities), gender (including pregnancy related conditions), military status
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, demonstrated by a track record of peer-reviewed publications (high impact factor) and presentations at international scientific congresses. Demonstrated experience working effectively in multidisciplinary
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position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoctoral Researcher - Machine Learning for Plant Regulatory Genomics
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experiment with multi-agent reinforcement learning workflows that coordinate component choices and parameters while enforcing system-level feasibility. LLM-assisted engineering workflows: contribute to domain
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, clinical trials, machine learning, optimization, or related methodological areas. Learning and applying deep learning, agentic AI, and other AI methods in assisting research is encouraged. Research
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analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is highly desirable. Although experience with microlensing and transit exoplanet searches
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programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is
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work environment which does not usually subject the employee to any unpleasant elements. This job description is not designed to cover or contain a comprehensive listing of activities, duties
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research on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches