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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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public debates and information/service – we contribute to maintaining and increasing sustainable economic prosperity and social participation under constantly changing conditions. Do you want to know more
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
ecosystems. Your Profile A PhD in marine biology, conservation biology, fishery management & conservation, or related fields A strong background in handling large data sets, programming (preferably in R
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Postdoc (f/m/d) Magnetoelectric Antiferromagnets / Completed university studies (PhD) in the fiel...
industry. To succeed in meeting these responsibilities, Helmholtz concentrates its work in six research fields: Energy, Earth and Environment, Health, Information, Matter, as well as Aeronautics, Space and
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of machine learning and health sciences, with unique access to experimental and clinical data. Embedded in Munich’s thriving AI landscape, fellows benefit from world-class facilities, interdisciplinary
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hearing loss. However, current neural devices are large, complex, and invasive, and are therefore used by only a fraction of people who could benefit from them. The goal of NANeurO is to design new
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) is an advantage Experience in software tools such as Origin, Matlab, Python/Matplotlib or similar programs for data processing and evaluation. Knowledge of a relevant programming language complements
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integrate large-scale sequence and RNA-seq data from internal and public resources. You build a reference library of predictive regulatory motifs. You use network analysis and random-forest approaches
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us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic
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-reconstructions and observations, low-order data assimilation, or deep neural networks. A quantification of the impact of mesoscale and submesocale features is also expected. At a later stage, the successful