145 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning PhD positions at DAAD
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: Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) Pay grade: 13 TVöD Place of work: Berlin and Hannover Limited for three years Application deadline
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international training environment. PhD students will work with leading scientists in the field and benefit from their complementary expertise in theory and experiments involving the various messengers
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to pursue their graduate studies and become innovative and independent researchers. As a PhD student, you will benefit from: • Fully-funded PhD positions (work contracts with social benefits) • Dedicated
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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Description Scientist/PhD-Student position (m/f/div) starting from 1 October 2025 and limited for 36 months in part-time with 67 %. Your key tasks: • Fabrication and characterization of porous
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: Master’s degree in a scientific or engineering subject with excellent grades; enthusiasm for neuroscience and brain mapping; openness to new methods such as deep learning. Offer: Funded PhD position (TV-L 13
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soon as possible Work location: Geesthacht (near Hamburg) Application deadline: September 21st, 2025 We are looking for a highly motivated PhD candidate to investigate the interactions between wind and
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageEnglish LocationGöttingen Application Deadline01 Apr 2026
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Next Working LanguageEnglish LocationGöttingen Application Deadline01 Apr
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protein structure analysis. Required skills: High motivation, curiosity, self-driven, critical thinking, strong team-player, good English, high interest in protein structure and machine learning. This PhD