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the use of instrumental analytical methods such as HPLC-MS, GC-MS knowledge in the preparation of plant tissues for the extraction of natural substances experience in the application of molecular biological
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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
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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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are essential for this role. The experimental work will provide the successful candidate with the opportunity to acquire expert skills and knowledge of innovative optical feedback control methods applied
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well as modern genetic engineering methods and microscopy. Requirements: a very good MSc or equivalent degree in Biology, Biochemistry/Biophysics is required for employment experience in cell or molecular biology
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be optimized and quantified using tomographic methods, in particular positron emission tomography, with spatial and temporal resolution. Different types of substrates and contamination are being
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functional aspects of the olfactory system in amphibians and other aquatic vertebrates. Using advanced imaging, neurophysiological, and molecular biological methods, we investigate the olfactory system
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methods on identical locations, to investigate their structural, morphological and functional properties. Able to work independently, in a team and collaborate with other researchers and mentor junior
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atomistic simulations, high-performance computing, and the application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in
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functional aspects of the olfactory system in amphibians and other aquatic vertebrates. Using advanced imaging, neurophysiological, and molecular biological methods, we investigate the olfactory system