102 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers in Germany
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, CSF) or advanced proteomics workflows (e.g. spatial proteomics) Fluent with proteomics data analysis tools and data management, programing skills in R’ or Python highly desirable Service-oriented
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contractual term is a maximum of 3 months Upload your detailed CV with a list of publications, certificates and references Submit information on the scientific concept and work plans for the requested time
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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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with your work Please find further information and eligibility criteria on www.dkfz.de/clinicianscientist Contact: Dr. Mariana Schulte-Sasse Phone: +49 6221 42-1696 The position is initially limited to 2
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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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analyzers, spatial/imaging coming in now) Consult users in experimental design and data interpretation Train users for independent equipment and software usage Liaise with external customers and service
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strategies in accordance with ISO 19880-9 Independent performance of experiments with gas measurement technology and data collection and analysis using Origin, KNIME, and/or Python Writing project reports in
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biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map
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multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map the genomic landscape of male infertility, particularly focusing on non-obstructive
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the proportion of women in areas where they are underrepresented. Women are therefore expressly encouraged to apply. CONTACT For further information, please contact Dr. Zhaolu Diao (zhaolu.diao@mr.mpg.de