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one of the optimization solvers and platforms such as CPLEX, CVXPY, Pyomo, GAMS Proficiency in MATLAB or Python programming Preferred Qualifications Familiarity with microgrid, grid resilience, grid
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environmental datasets; proficiency with Python, MATLAB, or similar scientific programming environments. Ability to work with large datasets, develop reproducible workflows, and apply modern data science tools
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scientific writing. Proficiency in statistical software (e.g., R, SPSS, Python) and survey tools (e.g., Qualtrics). Ability to work independently and collaboratively in a research setting. Record of peer
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with OFDM modulation required. Skills Programming skills in MATLAB and or Python required, experience with wireless testbeds desirable, some familiarity with GPU programming desirable (to support
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For Someone Who • Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field. • Is fluent in Python/R and Unix-based workflows. • Has experience with microbial genomics
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Python and common deep learning frameworks (PyTorch) • Excellent communication skills in English (German is a plus) • Independent, structured working style and experience in supervising students Preferred
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for scientific applications. Also required is strong experience from employing specialized HPC libraries as well as developing scientific applications using languages such as C++ and Python. Also required is that
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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biology approaches and early-adoption of cutting-edge technologies Operating with Linux and high-performance clusters (HPC) R/Python and Snakemake or Nextflow (or comparable platforms) OUR REFERENCES
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simulation and enhanced sampling techniques. Candidates must be proficient in Python and familiar with version control platforms such as GitHub. You should demonstrate a strong research track record through