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of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent researcher
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environments. Programming skills in Python or R and experience with Git. Evidence of research productivity through peer reviewed publications. Schedule and Travel Schedule is Monday through Friday during normal
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environments Active Sensing Mechanisms: Studying how animals actively sample sensory information to guide behavior and decision-making Environment-Behavior Interactions: Examining how different environmental
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of dendrochronology techniques, from the research plan, field work and laboratory, and interpretation and publication. He/she should be comfortable with the R and/or Python languages. Experience in handling large
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preference for former and recent deep learning models (GNNs, Transformers, etc.). Strong programming ability (Python preferred) with hands-on skills in AI and Deep Learning frameworks (e.g., Pytorch
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programming and software development. Familiarity with Python and statistical computing libraries, like PyTorch or JAX, etc., would be preferred. You are a motivational teacher, with an encouraging teaching
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experience for data acquisition, analysis, or modeling (e.g., Python, MATLAB, Julia) is a plus. This position is initially for one year with a possible extension for up to three years based on performance and
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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pulse propagation, the material response, and other aspects of our experiments. Coding in Python Assisting with the filing and generation of intellectual property and technology transfer Assisting in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep molecular analysis of the detected tumor clones. The postdoc (f/m/x) will build