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-house-developed instrumentation. Programming skills for data acquisition and analysis (e.g., Python or LabVIEW) are highly desirable. After a training period, you will operate and maintain the fast ECSTM
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) Personalabteilung Martinistraße 52, 20251 Hamburg https://jobs.leibniz-liv.de/jobposting/4eb2e658751a065d61aa2c3c40e370b128d0e0800?ref=homepage
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important - Prior experience with density functional theory or machine learning is desirable - Proficiency in the Python programming language is important, as well as Fortran - Strong written and oral
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Previous experience in protein biochemistry, LC/MS based mass spectrometry Previous experience in handling omics data analysis using software Experience in R and python is a plus but not mandatory Good
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, please contact Prof. Dr. Stefan Jakobs (E-Mail: sjakobs@gwdg.de ) Information about the Fraunhofer Institute can be found on the internet at: https://www.itmp.fraunhofer.de/de/institut/standorte
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related field Great interest in energy technology, energy economics and policy issues Experience in programming with Python or a comparable programming language Experience in energy system modelling is an
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Experience in quantitative data analysis and in handling complex bodies of data in the use of at least one programming language (e. g. Python, Java ...) Language skills (CEFR-Level): English at least C1
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de
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to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further information about the Senckenberg Gesellschaft für