42 parallel-and-distributed-computing-"UNIS" Postdoctoral positions at Nature Careers in Germany
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development
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2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition Facility, there is a global endeavour to turn the scientific milestone into practical application
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with academic and industrial partners A comprehensive mentoring program, including training in soft skills, offered by the Jena Graduate Academy and the Jena School of Microbial Communication University
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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possibilities for career development and networking A broad range of gender equality measures An educational programme The opportunity to apply for pilot project funding For inquiries, please contact: Dr. Nina
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of heart disease Your studies will take advantage of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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; company holidays between Christmas and New Year's Day #very good compatibility private and professional life; offers of mobile and flexible work #free assistance program for employees (EAP) #corporate
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation