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++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both independently and collaboratively Experience with deep learning frameworks, such as
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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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Are you an early career researcher with a promising research idea? Apply now for the Young lnvestigator Group Preparation Program (YIG Prep Pro), a postdoctoral fellowship and support program at KIT
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Country Germany Application Deadline 31 Mar 2026 - 00:00 (Africa/Abidjan) Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded
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) The Institute of Computer Engineering (ZITI) at Heidelberg University invites applications for one research assistant position with the possibility to do a PhD in parallel at the chair of computer architecture
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for Tumor Diseases Heidelberg (Head: Dr. Priya Chudasama) is seeking for the next possible date a Scientist in Computational Biology Reference number: 2025-0298 We are seeking a computational biologist to
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageEnglish LocationFrankfurt am Main Application Deadline15 Jan 2026 Starting Date01 Sep 2026 Overview Description Required Documents Application Overview Open...
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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available in the further tabs (e.g. “Application requirements”). Objective The primary aim of this programme is to promote the research projects within the context of the doctoral degrees and scientific