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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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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
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with drones, GC systems, or trace gas observations (desirable) Possess solid programming skills (e.g., Python) for data analysis (helpful) Apply anyway even if you do not meet all criteria, as missing