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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 2 days ago
discipline Experience in genome assembly, transcriptomics, metagenomics, population genetics Strong command of Unix/Linux systems and scripting languages (e.g., Python, R, Bash) Excellent communication and
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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Proven laboratory experience and programming proficiency (Python or a comparable language) Ability to work independently and self-reliantly, while maintaining strong teamwork and collaboration skills
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processing and databases is advantageous Proficiency in programming with C and Python (especially in the context of open-source software projects) Basic knowledge of HTML, CSS, or similar technologies
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Good knowledge of Java, Python, HTML, ROS, or comparable Basic knowledge in the field of machine learning Good communication and willingness to work in an interdisciplinary manner What you can expect
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(especially Fortran and Python) - studies in a science degree program (BSc or MSc), preferably in planetary sciences - basic knowledge or strong interest in planetology and geodynamic modeling - english skills
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setups and instrumentation, in particular in-situ computer tomography Proficiency in one or more programming languages relevant to the task (e.g., Python, Matlab, LabVIEW, C++) Experience in programming
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, TensorFlow, Pandas), ideally combined with knowledge of data visualization or statistical analysis Knowledge of software development (e.g., Python, Matlab, Simapro), especially in combination with experience
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, documentation tools) Excellent knowledge of Python as well as of relational and non-relational databases (e.g., SQL, NoSQL) Excellent command of written and spoken English Our Benefits: Promotion of your skills
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analytical chemistry, mass spectrometry, or trace gas measurements is an asset Enthusiasm for laboratory and field work Willingness to engage in programming and data analysis (preferably Python) Excellent