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Internship / Master Thesis – Quantum Optimal Control Algorithms for Electrochemical NMR Applications
, physics, data science, computer science or a related field Knowledge on the fundamentals of NMR spectroscopy Experience in Python programming Expertise on the fundamentals of electrochemistry and spin
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Deadline 14 May 2024 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff
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and traveling to national and international conferences (Co)-supervising PhD students Your Profile: University degree (Master) and doctorate in bioinformatics, computer science, data science, biophysics
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engineering, or related field Knowledge and competences in physical theory and modelling Experience and interest in computer programming Basic knowledge of electrochemistry and electrochemical energy
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electrochemical NMR setups may influence spin state preparation using spectrograms Your Profile: Ongoing master studies in chemistry, physics, data science, computer science or a related field Knowledge on
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university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation to scientific computing Recent experience
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publications and conferences Your Profile: Completed Master‘s degree in Mechanical Engineering, Chemical Engineering, Applied Mathematics, or Computational Science, preferably followed by a PhD or equivalent
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21 Feb 2024 Job Information Organisation/Company Forschungszentrum Jülich Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Germany Application Deadline 21 Mar
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-holders and the research community at meetings, conferences and by publishing in high-impact journals Your Profile: Master`s degree and PhD in quantum physics, computer science, electrical engineering
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about new scientific endeavors with interdisciplinary approaches. For this you have: A completed university degree (Master or equivalent) in data science, computer science, mathematics, materials science