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Field
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to succeed through engaging, industry-aligned learning. You’ll deliver classroom teaching, tutor ākonga, update learning resources, assess work, and support recruitment and wellbeing. You’ll join a supportive
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simulation, machine learning, battery manufacturing, electrochemical systems, materials characterization, or computational mechanics A strong publication record, preferably including at least three first
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, Gemini, Keck, and the planned Thirty Meter Telescope Observatories, while fostering a community of respect, learning, and individual growth. The qualified mechanical engineer will contribute to instrument
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publication-quality academic research You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare , and attractive pension
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robotics for specialty crop production. The successful candidate is expected to work within a highly collaborative, interdisciplinary environment, and will join engineers, computer scientists, horticultural
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PhD programs in Engineering, Computing, Electrical and Computer Engineering, Biomedical Engineering, and Materials Science and Engineering. All outstanding candidates will be considered, but preference
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
methods or machine learning is an advantage # Strong communication skills and a collaborative approach to working with internal and external partners # Independent, structured and solution-oriented way
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compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the
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required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation
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joints to integrated multi-segment limbs and full musculoskeletal bodies Close, day-to-day collaboration with the lab’s machine learning team and its muscles team will be required and is key to the project