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researchers: two doctoral researchers (m/f/d): reference number: 25_01_A4 These two positions are initially for a fixed term of three years. The institute’s personnel development plan allocates four years
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org
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The Professorship of Public Policy for the Green Transition (PPGT) focuses on designing and evaluating policies for the green transition worldwide. The group uses a variety of methods from automated data analyses
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University Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and
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-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and
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, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination
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Innovation & Entrepreneurship department is amongst the leading of its kind in Europe, with over 50 academics at faculty, post-doctoral and doctoral levels who regularly publish in premier outlets such as the
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10.06.2020, Wissenschaftliches Personal Single-cell technologies have recently gained popularity tremendous popularity with a big impact on understanding the pathogenesis of diseases and the design
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small quantum sensors to perform NMR and EPR spectroscopy on nanometer to micrometer small samples, reveal the inner working of Lithium batteries and acquire three-dimensional pictures of single proteins