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Research Assistant in Physical Computing and Wearables at the Department of Computer Science, Aar...
of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities . Salary depends
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technologies (OpenStack, Singularity, Docker, Kubernetes, etc.). You are fluent in spoken and written English; German language skills are a plus. Your working style is structured, systematic, and strongly
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lab experience in tissue handling and immunostaining Structured, reliable, and independent work style Team player with enthusiasm for interdisciplinary science This position has a fixed term, depending
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and drug delivery Structured, independent working style with ability to work collaboratively in an interdisciplinary team Desirable qualifications Experience with peptide design or in silico tools is a
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, material science, biophysics, structural biology or related disciplines with an interest and experience of advanced EM methods. You will have access to state-of-the-art instrumentation, including: a double
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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with regard to numerical simulation of the impact of detonation and deflagration events on infrastructure and modelling of structural behaviour under highly dynamic loads Provision of scientific and
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Faculty of Medicine of the University of Münster aiming to establish powerful structures for interdisciplinary clinical research and targeted promotion of young scientists. At the Medical Faculty, we
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as possible. Job description The project aims at determining in situ structures of axo-axonic synapses at the axon initial segment (AIS) of neurons through cryo-electron tomography (cryo-ET), and
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receptor diversity and specificity, predictive modeling of immune responses, structure-based immune protein design, systems-level simulation of immune networks, and machine learning for precision