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, mathematics, computer science and biology. The department’s research thus contributes to new knowledge and solutions with applications in the areas of climate, environment, energy, and health. Application
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented
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plan, international exchange, and a dedicated Thesis Advisory Committee (TAC) mentorship via the REC² mentoring board TUD strives to employ more women in academia and research. We therefore expressly
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applicants with purely (bio-)informatics background will not be considered. For inquiries, please contact: Prof. Gerd Meyer zu Hörste, gerd.mzh@uni-muenster.de Apply now via our career portal including CV and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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equality plan and the cascade model measures, which we actively implement to enable sustainable equal opportunities in academic career paths. We are thus committedly strives for gender equality in science
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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: Comprehensive benefits package including health insurance, pension plan, and family support services Access to world-class infrastructure, equipment, and resources Opportunities for professional growth
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Unexplored inorganic nanomaterials Research Environment Support up to 10 million yen depending on the research plan at the time of arrival is available. Qualifications/Requirements 1. Possess a Ph.D. degree or
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package including health insurance, pension plan, and family support services Access to infrastructure, equipment, and resources Opportunities for professional growth, networking, and international