845 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Robert-Gordon-University" positions in Germany
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across real-world, noisy, and dynamic data streams. In collaboration with Prof. Dr. Hilde Kühne, we will investigate large-scale data annotation strategies across billions of data points, facilitating
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Robot Learning (ID: TUEILSY-POSTDOC20251219-RL) Robots that learn from data promise greater autonomy and performance, but their deployment in the real world hinges on the ability to guarantee safety
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classical information. Your project within the Bolotin research group will be to develop a new class of 2D material heterostructures with on-demand tunable chirality. To accomplish this, you will develop a
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research focus on collecting new data through excavations and survey campaigns in Germany, South-Eastern and Eastern Europe, and neighbouring regions of Eurasia, and on the scientific evaluation
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. Application If you are interested in working with us, please send your documents by email to circulareconomy@cs.tum.de. For more Information, please do not hesitate to contact Prof. Dr. Magnus Fröhling
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from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property-performance chain
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contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 10,000 employees of KIT cooperate in a broad range of disciplines in research
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of Avestan (at least of the Avestan alphabet) • good computer skills • Knowledge of Middle and New Persian is very welcome • Knowledge of transliteration • precise and reliable work and ability to work in a
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immediate vacancies for the following position at the Chair of International Health and Medical Law and Data Protection Law (Prof. Dr. iur. Fruzsina Molnár-Gábor) at the Faculty of Law. This position is
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and