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Field
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principled new models and methods, for modern machine learning problems. Machine learning recently has been largely advanced by differential equation-based frameworks, such as generative diffusion models
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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ecological modelling. • Interest in undertaking field work and laboratory analysis (eDNA) methods to monitor and evaluate risks of algal blooms in reservoirs. • Familiarity with computer programming
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expenses are estimated to range from approx. 900 EUR to 1,400 EUR per month. Funding opportunities within the university Yes Description of the above-mentioned funding opportunities within the university
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells
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flow cytometry/cell sorting protocols. Design and develop specialized methods and/or techniques to provide protocols in cytometric procedures and assays in collaboration with users. · Operate and
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of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect, this joint graduate college brings together the expertise in analytical theory from
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three lab courses. These method-based courses last up to five days and constitute an important element of the study programme, with students receiving intensive training in the latest methods and