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in programming, ideally with experience in languages commonly used in computational biology (e.g. Python, C). Experience with HPC, workflow managers (e.g. Snakemake, Nextflow), and containerization
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of molecular phenotypes, Mendelian Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and
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approaches treat NP design as static property prediction. This project takes a fundamentally different approach: using generative models to propose novel NP formulations and coupling them with explainability
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candidates may apply before completing their PhD degree. However, a documented proof of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
. Use of digital earthquake models; The code used for calculations is written in Fortran, and the tools for processing input and output data are written in MATLAB and Python. The postdoctoral researcher's
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, plant and planetary health. The microbial diversity in different niches is enormous, and it is not all bacteria or viruses that are harmful and many are even beneficial. We are constantly faced with
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
colors relative to human eyesight. This resulted for example in Uranus and Neptune appearing in different colors, when in reality their colors are almost identical. Such distortions have historically led
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quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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representation and individual differences using large-scale multimodal datasets and computational tools. Job Related Minimum Required Education and Experience Requires a Doctoral (Ph.D.) degree in area of research
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multidisciplinary research and intensive neuroimaging training, build data skills, publish papers, attend conferences, and make connections with a number of different psychopathology and neuroscience research groups