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Biology, or a related field. Strong experience in bioinformatics and next-generation sequencing (NGS) analysis in a Cloud computing environment is essential. Proficiency in Linux/Unix and scripting
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interdisciplinary research and computational biology in particular. The fellow will join my team at IPhT, in Paris-Saclay. The IPhT is located just outside of Paris in picturesque Gif-sur-Yvette at the French CEA and
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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Category Intrumentation, metrology and control Contract Postdoc Job title Instrumental development for low-energy critical dimension small angle x-ray scattering H/F Subject This Postdoc will take place at the CEA–LETI, a major European actor in the semiconductor industry, at the...
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, interdisciplinary group engaged in civil, electrical and mechanical engineering, driving forward innovative research and solutions. It also has an internationally leading profile in computational science and
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interdisciplinary, and together we contribute to science and society. Your role The Research and Development Specialist will be responsible for establishing, developing and maintaining new and existing computational
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EMBL is Europe’s life sciences laboratory – an intergovernmental organisation with more than 110 independent research groups and service teams covering the spectrum of molecular biology. It operates
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? Are you our future colleague? Apply now! Required Qualifications Master degree or PhD in Computer Science or related topic in the sectors of Smart Cities, AI/Robotics, Computer Science, Urban Systems
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate