119 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:" positions in Austria
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, or related disciplines Strong programming skills (preferably Python and C/C++) Expertise in bioinformatics of noncoding RNA Proven ability to publish in leading international journals Excellent communication
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well as evaluation procedures. This is part of your personality: You must have: A completed doctoral/PhD degree in astronomy/astrophysics A proven track record in scientific programming in software development teams
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, statistical software, biostatistical software) Understanding of bioacoustic principles Desirable knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic
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. This is part of your personality: Master’s degree in Data Science, Computational Biology, Bioinformatics, Chemical Engineering, Systems Biology, or a related field. Good programming skills in Python, R
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of battery materials, at the interface of technical applications, resource management, and sustainability. You independently plan and carry out complex experiments, evaluate the data, and interpret the results
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, Bioinformatics, Chemical Engineering, Systems Biology, or a related field. Good programming skills in Python, R, or similar languages. Experience with mathematical modeling, process optimization, or AI methods is
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your personality: You must have: A completed doctoral/PhD degree in astronomy/astrophysics A proven track record in scientific programming in software development teams with applications to various
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of battery materials, at the interface of technical applications, resource management, and sustainability. You independently plan and carry out complex experiments, evaluate the data, and interpret the results
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, statistical software, biostatistical software) Understanding of bioacoustic principles Desirable knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic
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Computing, led by Univ.-Prof. Dipl.-Ing. Dr. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers and software infrastructures for scientific computing to support users in