15 parallel-processing-bioinformatics Postdoctoral positions at Nature Careers in Belgium
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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
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should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
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, collaborating closely with other bioinformaticians, as well as cancer cell and molecular biologists, clinicians and pathologists. Profile Essential Requirements PhD in Bioinformatics, Computational Biology
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments
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relationship to the applicant, of one referee Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 12 July 2025
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processed upon reception. To ensure full consideration, candidates should apply by 30th of July 2025 ONLINE formally through the HR system. Applications by Email will not be considered. All qualified
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highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. The University of Luxembourg is
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Networks, and ICT Services & Applications. The SigCom research group carries out research activities in the areas of signal processing for wireless communication systems, including satellite communications
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and ultimately accelerate these activities to combat climate change. Our approach combines science and engineering, beginning with the study of fundamental microbial metabolic processes that can be
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classification for hyperspectral and fluorescence lifetime datasets. Optimize algorithms for batch processing and scalability, enabling high-throughput, automated analysis of large image datasets from fluorescence