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sequencing data Familiarity with high-performance computing environments Track record of publications in peer-reviewed journals What we offer Cutting-edge infrastructure: state-of-the-art sequencing
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%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace
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). Familiarity with high-performance computing (HPC) and software containers. Knowledge of cancer genomics or regulatory biology is a plus. Mindset: Ability to work independently while thriving in a
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Qualification: The candidate should possess an Ph.D. degree or equivalent in Telecommunications and Computer Science Experience: The successful candidate should have proven experience (in terms of high-ranking
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like TensorFlow, Keras, or PyTorch. Preferred Skills: Experience with Explainable AI (e.g., SHAP, Integrated Gradients). Familiarity with high-performance computing (HPC) and software containers
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is 4 years. The PhD candidate will join COMPSOIL, a dynamic and international research environment, benefiting from the University's high-performance computing (HPC) infrastructure and opportunities
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benchmark performance against state of the art solutions and project KPIs Disseminate results through high impact journal and conference publications, demonstrations, and (where appropriate) patent filings
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contact both, and Your profile PhD in Information Systems, Computer/Data Science, Software Engineering, Applied Mathematics, or a related field Experience in publishing high-quality research, as