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Field
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with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do – development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion
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the subject within research and teaching. We are looking for a person with a proven track record in the field of neuroimmunology, for example through own research on cellular neuroimmunological mechanisms
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accessible Bildungscampus in the center of Heilbronn Additional benefits (including health facilities, company pension plan, discounted Germany-wide rail ticket, and company cell phone - also for private use
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at conferences and seminars Stay current with relevant literature Your qualifications Strong track record of scientific accomplishments is essential Prior hands-on experience in cell culture, biochemical assays
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synthesis methodology experts and data scientists, all working to advance climate solutions. Key responsibilities: Track CDR policy plans and implementation across different national contexts, including
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the action sequences coordinating predator-prey interactions between the nematode Pristionchus pacificus and its prey. You will use tracking microscopy to obtain high resolution behavioural data of predator
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 3 months ago
. The Project You will explore the action sequences coordinating predator-prey interactions between the nematode Pristionchus pacificus and its prey. You will use tracking microscopy to obtain high resolution
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requirement, but a willingness to learn is desirable WE OFFER: A competitive, interdisciplinary environment with a track record of intense mutual collaboration In addition to the individual training-through
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experience with mouse models, including compliance with animal regulatory requirements. Advanced expertise in T cell gene engineering/editing technologies. Strong track record of high-impact publications in
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the possibility of an extension. TASKS: Mathematical modeling and development of inverse methods (e.g. Bayesian inversion, optimization based methods, sparsity promoting methods based on L1-norm minimization and