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approaches are gaining importance for autonomous vehicles. However, the training and certification of autonomous systems with machine learning components is a huge challenge, since the learned behavior is
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developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore
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(lola.adedokun@uky.edu). More information on benefits can be found here: https://postdoc.uky.edu/current-postdocs/ Skills / Knowledge / Abilities The candidate should have excellent written and oral
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apply statistical and machine learning models to identify predictive markers of depression. Design and execute experimental protocols related to self- representation and chronic pain. Prepare manuscripts
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, registry data, health data, laboratory data, electronic health records, biomedical informatics standards. Working kowledge or direct experience in SCN8A-related disorders. Experience in machine learning
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a lifestyle gradient. The postdoc will mine this diversity to isolate organisms, validate biosynthetic gene clusters (BGCs), characterize microbial metabolites, and functionally test candidate
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machine learning models in simple, standalone devices that are capable of advanced processing. Building on our work on solution-based neuromorphic classifiers (https://doi.org/10.1002/advs.202207023
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Engineering, Chair of Compiler Construction, a full-time project position as Research Associate / PhD Student / PostDoc (m/f/x) (subject to personal qualification employees are remunerated according to salary
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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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on the plants Arabidopsis thaliana will generate maps of depolarization, retardance, dichroism, and optical axis azimuth, which will feed machine learning models developed by the project partners to identify