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methods to study RNA phage-induced complexome remodeling and decipher the molecular mechanisms and consequences of this process. Requirements: Master’s degree/Diploma or equivalent in biology, biochemistry
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? The planned doctoral project seeks to address this question through an interdisciplinary approach that combines methods and perspectives from medicine, biology, chemistry, pharmacology, physiology, and the
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fellowships. Possibility to supervise undergraduate students Close supervision in regular meetings State-of-the-art equipment and methods Excellent core facilities to support your research Your profile
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the application of molecular biological methods experience in the statistical analysis of research results or willingness to acquire such experience very good knowledge of MS Office, including Word, Excel and
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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
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: Master’s degree in a scientific or engineering subject with excellent grades; enthusiasm for neuroscience and brain mapping; openness to new methods such as deep learning. Offer: Funded PhD position (TV-L 13
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reflects the organic pollution load in water. Current COD determination methods are often discontinuous or spectroscopic and impractical for real-time application, limiting their utility in dynamic, data
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techniques is highly desirable and knowledge of basic microscopy methods is an advantage. Interest and/or experience in working at the interface between wet and dry lab is a plus. Interest in working
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cytometry methods Experience with cell culture techniques is highly desired Previous experience with genomics approaches and data analysis is a plus. Interest in working in a project with wet and dry lab
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hydrological modelling methods that explicitly use interpolation to pre-process precipitation data. In addition, the research should explore the integration of opportunistic sensor data to improve forecast