109 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"U"-"UCL" positions at Leibniz in Germany
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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free admission to Senckenberg museums – annual special payment – collectively agreed vacation entitlement – company pension plan Senckenberg is committed to diversity. We benefit from the different
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experience in NGS data analysis. relevant experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as well as with workflow management systems (e.g. snakemake, CWL, Nextflow
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following requirements: strong background in geoinformatics, geography, environmental science, data science or related fields in natural science GIS software proficiency (QGIS or ArcGIS) programming
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environment. The candidate will be given the opportunity to develop a doctoral thesis with extensive support through the RTG2413 (www.synage.de ) and the CBBS graduate program (gp.cbbs.eu ). Your profile
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the International Continental Scientific Drilling Program (ICDP) and aiming to study the icehouse–hothouse transition during the Permian (299–252 million years ago) and extreme continental climate states. Key
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sense of responsibility Goal-oriented and independent way of working Also desirable are: Programming skills (preferably Python or Ruby) Knowledge in the administration of SAN infrastructures using Fiber
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– company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and personalities of our staff and welcome every application from qualified candidates
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– annual special payment – collectively agreed vacation entitlement – company pension plan Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and personalities
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countries Confident use of MS Office programs EU driving license class B We offer An attractive, interdisciplinary working environment in a mixed team of experienced and young scientists and technicians