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Field
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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analyzing scientific literature and patents Strong interest in energy technologies and energy systems research Experience in LLMs and developing LLM-based methods is an advantage Programming skills
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simulations by developing simulations that can be automatically tuned to be realistic enough that the trained models generalize to real experimental data. The project will combine differentiable programming
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recordings, (2) whole cell recordings in brain slice, (3) optical recordings in brain slice or in vivo (2-photon rigs are available), and (4) programming. The successful candidate will work with Dr
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benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers ( HAW ) – UAW for purposes of collective bargaining and
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: https://www.hds-lee.de/admission/openpositions/ Your Profile Mandatory qualifications are: M. Sc. degree in meteorology, physics, mathematics, or a related field Good knowledge in data handling and
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programming or high-performance computing, robotics or embodied AI, geometry processing, scientific computing, optimisation or applied mathematics. Strong programming skills are important. Experience with
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environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough
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learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in
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, biophysics or a related field with a specialization in soft matter science You have some experience in data analysis using standard software like Origin and in scientific programming Experimental experience