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with a wide range of neuroscience techniques, including data analysis,tissue staining, and postmortem MRI. What do we offer? You will be joining a highly collaborative research environment in the Ultra
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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design, vector network analysis or oscilloscope measurements is an advantage. The ability to combine theoretical modelling with careful laboratory work and quantitative data analysis. Your profile for PhD
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research environment. You also have: A successfully completed MSc degree in plant sciences, bioinformatics, plant genomics or a related field Excellent data analysis skills, both for bioinformatic and
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skills. experience in data analysis, quantitative modeling and programming (e.g., R, python); knowledge of nutrient and/or agrochemical cycles in agriculture; excellent scientific writing skills in English
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and integration of multi-omics data. Where to apply Website https://www.academictransfer.com/en/jobs/363694/msca-dn-phd-position-in-liquid-… Requirements Specific Requirements We welcome applicants from
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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20 Aug 2026 Job Information Organisation/Company Radboud University Research Field Medical sciences » Medicine Neurosciences » Neurology Neurosciences » Neuropsychology Researcher Profile First
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@uva.nl Where to apply Website https://www.academictransfer.com/en/jobs/363712/phd-position-on-the-effects-of-… Requirements Additional Information Website for additional job details https
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and collecting experimental data. You also have experience with, or a strong willingness to develop, skills in advanced statistical methods and quantitative data analysis. Experience with computational