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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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, including programming in R, Python, or MATLAB. Excellent communication skills and demonstrated leadership ability to work within multidisciplinary teams. Peer-reviewed publications, strong knowledge of dairy
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of the specific nature of these data (especially data from the AZP programme); advanced proficiency in GIS software; preferably experience in field archaeological research in loess areas, including
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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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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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may be approved only in exceptional circumstances or when required by the position's job duties. If you need assistance applying to this posting, please contact GI - Office of Human Resources at 907-474
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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 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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.) ● Strong computational background, including: o 2 years of experience in programming (e.g., Python, R, Julia, or similar); o Evidence of working with large-scale datasets (e.g., genomics, transcriptomics