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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
generation, gene/genome reconstruction, prediction of phylogenetic domains of DNA sequences and genes, molecular feature classification, and protein clustering based on structure and function. Skills in R
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chronometabolic research Analysis and quantification of circadian rhythms by rhythm analysis software (Cosinor, JTC cycle, R etc.) Rhythm analysis in human 24-hour time series data and omics data Writing
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of statistical and geoinformation software (e.g., Python, R, QGIS) You have a high degree of team spirit Our Offer: We work on cutting-edge, innovative topics and offer you the opportunity to play an active role
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
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the research department is English); Good knowledge of German, Arabic, Russian, and/or Chinese is a big plus; Training in and experience with statistical methods, advanced regression models, and excellent R
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statistical data evaluation, creation of scientific programme codes using common software packages (MATLAB, Python, R) Simulation skills with e.g. molecular dynamics and alpha fold Knowledge
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interact in the Center for Behavioral Brain Sciences (www.cbbs.eu). Collaboration with the Central German site of the German Center for Mental Health Halle-Jena-Magdeburg (www.c-i-r-c.de) is possible
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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chromatography is required. Additionally, familiarity with precursor and reporter ion quantification & PTM analysis tools, and experience in programming languages like R and/or Python would be essential
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition