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., model-based, optimal, learning-augmented control), perception, and planning modules; run structured experiments and benchmarking. Architect high-quality research codebases in C++/Python/C# (e.g., ROS/ROS
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career scientist with background in organic geochemistry, statistics, and Bayesian modeling to pursue analyses of paleoclimate biomarker data. The ideal candidate should be proficient with both laboratory
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, demonstrated by a strong publication record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or
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record: 1) bioinformatics and related areas; 2) cell and molecular biology and related areas; or 3) animal model physiology and related areas. Candidates must have a PhD, or MD/PhD degree, and be self
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projects in a timely manner, write reports, and manuscripts. Engage in career development activities, apply for dedicated funding and contribute to lab-based grant proposals. Minimum Qualifications PhD or MD
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Qualifications PhD in the field of Planetary Science, Astronomy, Geoscience, or a related discipline by the start date of the position. Experience with numerical modeling and programming. Experience with modelling
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through collaboration with team members conducting microbial and modeling analyses. The project will provide excellent exposure and networking opportunities for multiple career paths in academia and
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, mechanics/ICME modeling, and microstructural characterization (SEM, EBSD, TEM, etc.). Experience in preparing, writing, editing and revising research articles. Minimum Qualifications PhD in Materials Science
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Minimum Qualifications Doctorate degree such as PhD or MD in biochemistry, molecular biology, immunology or related field is required. Preferred Qualifications Experience with in vitro cell models and in
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Minimum Qualifications Doctorate degree such as PhD or MD in biochemistry, molecular biology, immunology or related field is required. Preferred Qualifications Experience with in vitro cell models and in