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Field
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projects, please visit https://shuhei.net/ Funding Notes Available for externally funded and self-funded students. Applicants with a background in mechanical engineering, electrical and electronic
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Python programming experience Have familiarity with at least one LLM framework or API (Hugging Face, llama.cpp) Have solid software-engineering and version-control (Git) practice To be successful at
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Description The Harvard John A. Paulson School of Engineering and Applied Sciences ( SEAS ) Bionics Lab (https://bioniclab.seas.harvard.edu/) is seeking a highly motivated Fellow with a background in
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invite you to visit our website: https://flexteam.univie.ac.at/ . To learn more about FLEXPART, visit https://www.flexpart.eu/ . In the framework of the research association VINAR (Vienna Network for
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numerical/computational modelling methods (e.g. discrete element method or finite element analysis) Strong programming skills Good written and verbal communication skills in English Considered an
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: Extending full-spectrum non-gray models for gases to solid particles Experimental characterization of fuel particles using FTIR Mathematical model formulation and programming Model implementation in
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering
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quantitative methods such as mathematics, statistics, and programming, broad knowledge of natural and anthropogenic processes affecting carbon storage, and a willingness to conduct fieldwork in remote and
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or life-science discipline. Strong programming skills and experience with large-scale sequencing, genomics or comparable biological datasets are required. Experience with ribosome profiling, machine
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participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL ( https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic