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Field
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transition that not only enhances the productivity of engineering teams but also expands the complexity of solvable design problems. We have two exciting PhD positions at the intersection of formal software
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of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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software engineering skills in Python. Strong background and research experience in astrodynamics/orbit determination and numerical methods. Experience in usage of PRIDE data is a strong plus. Experience in
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., Pettersson, H., Behrens, A., Männik A., 2018. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Engineering, 152, 57–71. https://doi.org/10.1016/j.oceaneng
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both
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emphasis on science and engineering research. Learn more and apply Ariel University Department of Physics (https://www.ariel.ac.il/wp/physics/en ) If the link does not work from your country please google
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research questions from several fields such as software and domain engineering, system modelling and analysis, application adaptability and integration, human computer interaction, security, and