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interdisciplinary and work in collaborative teams, e.g. (but not limited to) molecular biology-clinical, bioinformatics-biology Knowledge of basic microscopy and flow cytometry methods Experience with cell culture
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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cells. Your tasks Cultivation of mammalian cells Biochemical as well as cell and molecular biological methods to study the interactions of alpha emitters with mammalian cells Characterization
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arbitrary complexity and shape at the sub-nanometer scale. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the
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solving. Diverse research areas: Work on numerical models, analyzing large data sets, statistical methods and more in a unique scientific environment. Who Should Apply? Emphasizing the physical system
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ecological challenge and substantiating a critical tool for water resources management, this project offers a great pathway, equipped with tools, data, and mentorship. Research goals: Develop a numerical
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 3 days ago
them to work on innovative research topics and to develop and apply the scientific methods appropriate to their research topics. Course organisation During the three-year programme, doctoral students
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. Your tasks and responsibilities Characterization of ion channel functions using electrophysiological, optical, biochemical, molecular, and cell biological methods Analysis and interpretation
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Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow