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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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(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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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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, 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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- Practical experience in working with RNA (RNA extraction, RT-PCR, RNA sequencing) - Knowledge in programming languages like R or Python for data manipulation and analysis - Experience in quantifying plant
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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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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
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good knowledge of experimental research methods and statistics, experience with sta-tistical software (e.g. JASP, R)•Programming skills (e.g. in Matlab, Python/Psychopy and/or R) or willingness