49 data-"https:"-"https:"-"https:"-"https:"-"Brunel-University-London" PhD positions at Nature Careers
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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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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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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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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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Research at the LMB aims to understand the workings of complex systems, such as the immune system and the brain, and use this information to solve key problems in human health and disease