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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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single-nucleus RNA sequencing (scRNA-seq/snRNA-seq) is an advantage. Knowledge of data analysis methods, including statistical software and transcriptomic analysis pipelines is an advantage. Excellent
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. However, evaluating such architectures at system scale remains a major challenge due to the limitations of conventional software simulation and existing device-level emulation platforms. This PhD project
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optics, supported by an excellent academic record, Experience with data analysis and familiarity with software tools for automated measurement, data acquisition, or data processing, The ability to work
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integration challenges. You have experience developing simulation frameworks and research software. You are proficient in scientific programming and data analysis. You are detail-oriented but comfortable with
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biology workflows including quantitative PCR. Working knowledge of software applications, such as Microsoft Office Suite. Excellent verbal, written and interpersonal communications skills. Desirable
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(DRG) isolation, processing, and analysis Desirable Qualifications: Experience with statistical analysis software such as GraphPad Prism or R Experience with catch-clamp recording Experience with Ca2
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to bioscience. The successful candidate will receive interdisciplinary training in frontier AI model training, explainable AI, knowledge graphs, genomics and open-source scientific software. This project is
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-speaking children and schools and communicating research findings internationally. You have experience with quantitative data analysis, preferably using tools such as R, Python, MATLAB, or similar software
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ICT Services & Applications. Your role The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine