80 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD positions at DAAD in Germany
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knowledge of machine learning (e.g., in the areas of object detection and identification, generative AI, etc.) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min
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machine learning approaches. These are similar to earlier work on charge and excitation energy transfer (see https://constructor.university/comp_phys). The project for the PhD fellowship is slightly more
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January 14, 2026: https://www.uni-goettingen.de/de/application/556704.html Applicants will be asked to upload a CV, academic records (as PDFs), and contact information for two referees. You may select up
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activity, visit our website ( http://www.ds.mpg.de/lmp ). Required Documents Required Documents Motivation letter CV Certificates References Application Application https://www.ds.mpg.de/4099924
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, storage, accessibility/sharing, archiving, publication, and preparing data for machine learning applications. The Research Training Group RTG 3120 offers, subject to the availability of resources, a
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literature review, hypothesis development, and experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic
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application deadlines) please visit https://www.qu.uni-hamburg.de/cluster/jobs/research-positions.html and klick on “+ Doctoral researchers”. The details of the application process (including starting dates
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Description The Center for Molecular Bioengineering (B CUBE, https://tu-dresden.de/cmcb/bcube ) and its partner institutions, the Biotechnology Center (BIOTEC) and the Center for Regenerative
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events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion
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of German, or willingness to learn, is desirable since the position involves undergraduate teaching, e.g., exercise sessions TUD strives to employ more women in academia and research. We therefore expressly