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Field
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production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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. The successful candidate should have experience with advanced astrophysical data analysis in the context of multi-mission and multi-wavelength observations including e.g., Fermi-LAT and imaging X-ray
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, independent working style Experience in Computer Vision The weekly working time is 10-20 hours. The position is initially limited to three months, an extension is intended. We value and promote the diversity
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
such qualified individuals. For more information please contact: Dr. Alex Paarmann, e-mail: alexander.paarmann@fhi.mpg.de , Fritz Haber Institute of the Max Planck Society, Department of Physical Chemistry, 14195
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backgrounds are ex-pressly encouraged to apply. Female applicants with equal qualifications and suitability will be given preferential consideration. Further information on our equal opportunities measures and
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skills Physical presence in our labs Strong knowledge in mathematics and linear algebra Proficient English skills Precise, responsible, independent working style Experience in Computer Vision Experience in
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data are essential. This has also been appreciated with the nomination “technology of the year 2019” by the journal Nature Methods. Our research group employs state-of-the-art single cell sequencing
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communication and information behaviour, initiative/commitment and ability to make decisions, ability to work in a team and willingness to cooperate, as well as conceptual, strategic and innovative thinking
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CV, cover letter, and contact information for two references, to Prof. Elmar Schiebel at schiebel.elmar@zmbh.uni-heidelberg.de . The PhD student will be a member of the Heidelberg Biosciences