128 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Babes Bolyai University" research jobs at Northeastern University
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. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All
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intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI, including
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Experimental Design & Execution: Develop and execute in vivo studies using murine models to investigate translational mechanisms in muscle biology and inflammatory disorders. Model Development: Contribute
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funding and performance. This position will be based in the Social Development and Wellbeing Lab led by Dr. Alexandra Rodman. The Lab and offices are the heart of Boston, in the new, state-of-the-art ISEC
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state and federal agencies. The appointment is for one year with the possibility of renewal based on performance. Key Responsibilities Lead research and development of a prototype community readiness
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benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https
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University will support NIH-funded projects focused on advancing neuroimaging research through the development of open-source software and data-sharing platforms. The role involves developing AI-driven
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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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discipline. Strong record of research productivity, evidenced by peer-reviewed publications. Demonstrated expertise in microbial genetics, natural product discovery, or bioassay development. Experience with
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University is seeking a Postdoctoral Research Associate to work on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in