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: Excellent study or research performance You possess high scientific integrity Master’s degree (or equivalent) in immunology, biology, biomedicine, microbiology, bioinformatics or similar Knowledge in
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Description Do you like to become a One Health expert in Helminthology? Do you like to work interdisciplinary and do your doctoral thesis in a structured doctoral program in Berlin? Here is your
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recruitment is subject to project approval. Your tasks Carrying out experiments on fuel cell performance test Characterization of electrode activity by electrochemical measurements Test the permeability
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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machine learning approaches. These are similar to earlier work on charge and excitation energy transfer (see https://constructor.university/comp_phys). The project for the PhD fellowship is slightly more
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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(iGSS Track II) who will work in an inspiring and exciting research environment. The iGSS offers a graduate program that combines cutting-edge research with a curriculum of lectures, colloquia, and
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Description About us LMU Munich is one of Europe’s leading research institutions. Scientists from all over the world encounter excellent conditions for their work - in their own research field and
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willingness to work in a team and to network with scientific institutes and industrial partners, as well as confidence in the use of standard MS programs and a good command of written and spoken English.