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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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Developer, Virginia Serious Game Institute (VSGI) at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a cover
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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; General proficiency in MS Office software; English; German; Research stays at other universities; Participation in international projects; Knowledge of the use of stable isotopes in Archaeology; Knowledge
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of this position is to support the maintenance and development of the chemical informatics infrastructure of the Institute. The candidate will be the main maintainer and developer of the codes and databases which
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Application Developer Job Profile Title Application Developer Senior Job Description Summary The Supervising Application Developer Sr. in the Bioinformatics Core will work closely with the PI to recognize
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customer needs and direct visitors to the appropriate points of contact. Assist in resolving inquiries and ensuring excellent customer service. Operate a computer and use a variety of office software
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consideration, applicants must apply for the Software Systems Engineer at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and
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for software and hardware development and implementation in a neuroimaging-focused, neuroscience lab. Our lab studies sleep and neurological disease with a strong clinically translational focus. You will work
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 24 days ago
accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) and AutoLyap (https://github.com/AutoLyap/AutoLyap/ ) software packages