438 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM"-"IFM" positions in Germany
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) Ideally, initial experience with FPGAs (Xilinx Vivado, Zynq Ultrascale+, …) Ability to work independently, willingness to learn, and interest in the subject matter What you can expect Flexible working hours
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cafeteria. Curious to learn more? Discover what makes working at Fraunhofer IZI special and what benefits we offer our employees here . The position is initially limited to two years. The weekly working time
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stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, life-long learning and provide
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and challenging PhD programs, which will supplement your research training with outstanding opportunities for career development, continued education and life-long learning. Situated on the foothills
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bicycle, public transport or car free use of Nextbike from the Buch S-Bahn station to the campus subsidy for the job ticket as well as discounts in the campus canteen on-campus health and fitness center
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be paid, will be reviewed and determined on an individual basis (see important information for scholarship applicants , section F, point 8) To enable grant holders to learn German in preparation
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 2 months ago
asset and reflects the collaborative spirit we foster in our group Our offer We offer an inclusive and supportive work environment for talented and motivated individuals who are eager to learn and grow
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spoken English (other language skills are an advantage) Experience in scientific research and scientific work is an advantage Good computer skills (MS Office) Independent and creative working style
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to complete a German higher education qualification, earn a doctorate or acquire additional knowledge in their academic fields. The foundation's goal is to help further the education and training of young
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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 methods, machine learning