22 programming "https:" "https:" "https:" "https:" "OSU" PhD positions at ETH Zurich in India
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information for at least two academic referees Further information about the Centre for Radiopharmaceutical Sciences ETH/PSI can be found on our webpage https://radiopharmaceutical-science.ethz.ch/ and
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innovative research and achieve decisive progress. Further details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The successful candidate will investigate the
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programming skills, scientific curiosity, and a passion for intelligent robotic systems. You should have: A Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering
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-time control of therapeutic protein expression and metabolic regulation. Leveraging innovative platforms such as direct-current-actuated regulation, electromagnetic programming of wireless expression
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processing Some experience in SAR data processing or another field of array signal processing is an asset The successful candidate has strong analytical skills and programming experience in Matlab, Python
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Technologies Programme (FHT1) at the Singapore-ETH Centre (SEC) (https://fht.ethz.ch)developed and piloted innovative upper limb rehabilitation technologies and evaluated them in a clinical context, both
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partial differential equations, dynamical systems or stochastic models, gained through coursework, a thesis or a project programming experience in a language such as Matlab, Julia, Python or R good
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internationally leading research Strong programming skills in Python English is the main working language German is an advantage but not required Experience with computational design methods is an
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M.Sc. in computational chemistry, chemistry, biochemistry, or physics. Experiences with molecular dynamics (MD) simulation, machine learning, and strong programming skills (Python) are highly
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, Physics or a related field strong programming skills, e.g. in Python, Julia or C++, and experience in writing clean, well-tested code experience in numerical methods, optimisation, statistical inference