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, etc.) Preferred qualifications: Experienced in working with rodents Experience in 3D cell culture of patient derived tumor cells Experience in grant acquisition Programming Skills (R, Python etc
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their immunogenicity; Develop analysis strategies for large data sets and correlation matrix using programming languages (R, Python, SQL, etc.); Scientific supervision of undergraduate and doctoral
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active learning is desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online
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(bulk and single-cell) Proficiency in relevant programming languages (e.g. Python, R, etc.), HPC environments (e.g. Slurm), and workflow management systems (e.g. Snakemake) To work accurately and being
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
that submission of the doctoral certificate is mandatory for employment. Experience with LLMs including prompt engineering and underlying technologies Experience with Python and/or R in the fields
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
biology, marine biology, or a related field Demonstrated proficiency in at least one programming language (e.g., Python or R) Strong organizational skills Good English knowledge (approximately equivalent to
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, parameterization, simulation experiments, and output analysis very good programming skills in at least one language (e. g., R, Python, C++, or Julia) a strong interest in interdisciplinary work (e. g., demonstrated
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Strong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing data Solid understanding of RNA biology, transcriptomics and epitranscriptomics Desirable skills: Experience