71 postdoc-image-processing-"Multiple" PhD positions at Technical University of Munich
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working on NLP for medical applications (see German version below / siehe unten für Deutsche Version) . Your Responsibilities Conduct applied research at the intersection of Natural Language Processing (NLP
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Chair of Biological Imaging 07.08.2025, Wissenschaftliches Personal We are now looking for a highly qualified and motivated researcher with an engineering or physics background (f/m/x) and a
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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well as data processing meth-ods for analyzing block-like structures made of limestone and granite, Evaluation of data using acoustical imaging techniques and passive seismic monitoring, Carrying out
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clinical use-cases for benchmarking existing state-of-the-art (SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA FL algorithms that tackle data
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(SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA algorithms in Robustness against data and model poisoning attacks. Develop SOTA algorithms in
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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on an important topic in a well-funded multi-disciplinary international training network. The training involves multiple activities, in addition to your research, and secondments across our partners. Overview
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• Eukaryotic cell culture and transfection of cell lines • Handling and experimental use of organoid models (provided by a partner institute), including adaptation for biophysical assays and imaging
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paid PhD position in the area of Natural Language Processing starting as soon as possible. Your responsibilities Research & development projects in the area of NLU and NLG Contribution to teaching on