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advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases (e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux
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or retrosynthesis (e.g., reaction templates, template-free approaches). Proficiency in Python programming and familiarity with ML frameworks such as TensorFlow, PyTorch, or JAX. Experience with cheminformatics tools
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the Linux operating system, bash scripting, Git, Python, and reproducible software environments. Demonstrated expertise in writing advanced software in Python and in the design and implementation of deep
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research, with proficiency in research software appropriate to the candidate’s methodological expertise (e.g., R, Python, SPSS, NVivo, or MAXQDA). Experience designing, deploying, or evaluating generative AI
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(dSPACE and OPAL-RT) Background in communication networks and protocols Familiar with networked controllers and meters Proficiency in programming languages such as Python, Pytorch, HyperSim. Background in
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
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Biomedical Engineering, Psychology, or a related field At least two years of postdoctoral experience. Required Qualifications: Thorough familiarity with programming and analysis in MATLAB and/or Python. Strong
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Python are required. Experience with control and optimization of power generation systems (e.g., wind power) is desirable but not required. Some experience with real-time control hardware is desirable but
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variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics
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codes and process their results. Helping to develop new models and algorithms to simulate pulse propagation, the material response, and other aspects of our experiments. Coding in Julia and python. Take a