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terms of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering
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/postdoc-position-crop-genomics-… Requirements Specific Requirements Essential Qualifications You hold a PhD degree in Bioinformatics, Computational Biology, Plant Genomics or a related field. You possess
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technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems. -The candidate will work on the synthesis
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science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description We are seeking
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full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring
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specified. Environmental conditions: This position is not substantially exposed to adverse environmental conditions. Required Qualifications REQUIRED: 1. PhD in Oceanography, Genome Sciences, Computer
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of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
fellows and project-based postdocs (listed below). The successful candidate(s) will be hosted by the Atmospheric Physics of Exoplanets (APEx) Department and take part in the Max Planck Postdoc Program . The
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of the molecular ISM of galaxies, with a focus on galaxy centres. In particular, this project aims to measure the spatially resolved properties of giant molecular clouds and/or weigh the supermassive black holes
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of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking