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Field
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(specifically machine learning) in early drug discovery, precision medicine and clinical trials. The team is internationally well connected and is working closely together with leading European and US
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particular, this includes: support the production of systematic literature maps and reviews through data collection and synthesis annotating datasets for the evaluation of machine-learning classifiers creating
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concentrate on individual topics. It is not necessary to take on all of the tasks mentioned. What you bring to the table You are a registered student in the field of electrical engineering, computer engineering
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Your Job: In this position, you will be an active member of our "Simulation and Data Lab for AI and Machine Learning in Remote Sensing", which aims to strengthen interdisciplinary research by
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, evolutionary histories, or domain architectures as potential drivers of altered bacterial virulence. You will apply supervised and unsupervised machine learning to correlate adhesin variation with virulence and
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process development: application of machine learning and AI to analyse and optimise process parameters in high-temperature gas-phase synthesis and other advanced processing technologies; development
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Student Assistant (m/f/d)- Software Development for Cutting-Edge Autonomous Outdoor Robot Navigation
or similar, currently enrolled in bachelors or masters program Some experience with C++ and Linux Experience with the following is a plus: ROS 2, computer vision, pointcloud-processing, machine learning
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of the hazardous space radiation environment and developing tools for the prediction of the adverse effects of the space environment utilising satellite observations, physics-based numerical models, machine learning
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macromolecular dynamics with statistical mechanics, molecular simulation at different resolutions, machine learning, and experimental data. Our group works on the definition and implementation of strategies
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control, and process optimization. You will work on the development of deterministic population balance models, conduct single-crystal and batch crystallization experiments, and apply modern machine