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, progression, and target engagement; which directly feed into our large-scale longitudinal datasets. The PhD/PostDoc project. You will be integrated in several translational projects as the lead person to model
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particle fueling and transport experiments Evaluate the experimental data and publish them Supervision of internship/bachelor/master students Your profile/Our requirements PhD in the field of experimental
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 1 month ago
fuelling and transport experiments Evaluate the experimental data and publish them Supervision of internship/bachelor/master students Your profile/Our requirements PhD in the field
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the understanding of femtosecond structural dynamics in quantum materials and 2D van der Waals systems. This position is available immediately. Requirements Successfully completed PhD degree in physics or a related
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sequencing, large-scale genomic, transcriptomic, proteomic, metabolomic, and phenotypic data) using cutting-edge technologies, such as machine learning You will perform transcriptomic and epigenetic analysis
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working with ocean or earth system models, or similar models A background in analyzing large data sets and visualizing data using Python, MATLAB, or equivalent very good writing, presentation, and
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journal articles Contribution to the overall support of the project, working group, and team collaboration Requirements: PhD in data science, or in any field with relevant experience Experience with
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at large scale facilities Establishment of cooperation projects with energy-related institutes at Forschungszentrum Jülich Initiating grant applications Supervision of MSc and BSc students Presentation
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. The position is part of the project “Understanding of, and Explanations with, Large Language Models”, which is funded by the Volkswagen Stiftung and associated with the Cluster of Excellence “Machine Learning
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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