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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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, Detailed Reports, Electroencephalogram (EEG), Electrophysiology, Laboratory Instrumentation, Laboratory Research, MATLAB, Mouse Handling, Software Program, Stereotaxic Surgery, Working Independently Grade
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research; ideally in the computational and/or biology and/or cancer field. Demonstrable knowledge and prior work with spatial and RNA-seq datasets in a biological context. Strong software and data processing
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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of performance targets such as efficiency, bandwidth, and multi-condition operation. To design and fabricate reconfigurable metasurface prototypes that implement a global tuning mechanism, and to experimentally
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science » Computer systems Computer science » Modelling tools Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 May 2026 - 23:00 (Europe/Paris
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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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Design and Software Engineering , we design smarter ways to engineer better software, and explore how people engage with digital systems, combining global research perspectives with strong collaboration
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. Gross salary per year: 35.000 €. Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50423 Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Skills
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reliably stratify patients based on their fracture risk. The position is funded as part of Horizon 2020 European Project (https://www.metastraproject.eu/ ) that aims to provide a combination of models