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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
information behaviour, goal-oriented and structured way of working, initiative/commitmentand, ability to work in a team and willingness to cooperate as well as conceptual, strategic and innovative thinking
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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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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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positions in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics , in a world-class research environment
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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
plant species. All available projects are detailed at www.mpipz.mpg.de/imprs/proposals where applicants will also find more information about the host groups. YOUR PROFILE | You are a highly qualified
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, including in leadership positions, and strongly encourages women to apply. Your personal data will be processed for the purpose of conducting the selection procedure on the basis of Art. 6 para. 1 b, Art. 88
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of family and career Consideration of personal wishes regarding the weekly working schedule Information regarding the position Paygrade E13 according to TVöD VKA-K. Your job grade depends on your job
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student will: - Generate and analyze spatial and single-cell transcriptomic data from human NB and PPGL tumors. - Integrate developmental reference datasets to reconstruct differentiation trajectories
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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