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Field
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and validate a novel single-camera markerless motion capture system, combining biomechanical realism, synthetic data generation, and privacy-preserving visualization within a single framework, to enable
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the PI in writing scientific papers based on research findings that includes generating graphs, tables, and other visuals for internal reports, grant applications, and publications. Collaborates with other
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Initiative, creativity, and the ability to work effectively in a team Excellent English language skills; knowledge of German is welcome Experience with maker spaces, design thinking, prototyping, visualization
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modeling, or real-time data analysis. Familiarity with data visualization, reproducible research workflows, version control, and collaborative coding practices. Interest in translating computational methods
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ornamentals for safety and efficacy to develop more effective preemergence herbicide rotations for nursery growers Determining ornamental crop response to weed management strategies and their growth and
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, articles, and publications. Prepares tables, graphs, and other visuals of research findings. Prepares Methods and Results sections of required research deliverables. Mentoring Assists, mentors, and/or
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, Licensure/Other Credentials Preferred Qualifications Knowledge/Skills/Abilities Communicate clearly and effectively. Experience of Electrochemical data collection and analysis – deconvoluting polarization
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
. Opportunities to collaborate with industry (biotech/pharma) and to get involved in academic start-up/spin-off companies. Training program in project management, scientific writing, visual communication
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in the HDS Centre. Current projects include researching barriers to and effects of prolonged breastfeeding, the impact of emerging threats eg COVID-19 and climate-related environmental factors
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, participate in marine field surveys, and ensure the effective integration of environmental, biological, and spatial datasets. The successful candidate will establish robust data management and quality assurance