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Field
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should be accompanied by objective or independent assessment of the candidate's track record and potential. These may include links to access published or unpublished material or letters of support from
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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 (standard
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processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
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If you hold a PhD or master’s degree with an outstanding track record or strong interest in the fields of drug delivery science, pharmaceutical technology, or gastrointestinal physiology, we invite you to
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and reduction Development and application of big data analytics for large X-ray data sets Application of Bayesian methods to X-ray data Combinatorial analysis of various data from complementary
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. Combined with previous works in dynamic object detection and removal, an automated pipeline for creating such maps will be developed, which we expect to be of great benefit to real-time localization in
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seeking to fill the following position Research Scientist (m/f/d) for Long-Term Benthic Dynamics (Tenure Track / full time – part time: minimum 80%) at the department Marine Research as per 01 Dezember
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project objectives. Establishing and maintaining effective scientific collaboration with the co-hosting research groups, contributing to a cross-disciplinary team environment. Preparing, documenting, and
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, ocean, marine ecosystem, and impact models of different complexity and will include both traditional and new ocean modelling approaches with the final objective of delivering: (i) coordinated and
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