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) Positions PhD Positions Country Spain Application Deadline 1 Oct 2025 - 23:59 (Europe/Madrid) Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Nov 2025 Is the job
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Researcher (R2) Positions PhD Positions Country Spain Application Deadline 8 Dec 2025 - 23:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 7 Jan 2026
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges
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7 Nov 2025 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Physics » Optics Researcher Profile Recognised Researcher (R2) Positions PhD
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Infrastructure? No Offer Description Research line: Learning in single cells through dynamical internal representations. Job description: Develop theory, models and algorithms for identifying molecular encodings
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: Own the optimiser: design, implement, and tune heuristic/metaheuristic algorithms (e.g
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. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group: Atomistic & Molecular Modelling for Catalysis Group Requirements Specific Requirements PhD in Chemistry
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(R1) Positions PhD Positions Country Spain Application Deadline 7 Nov 2025 - 23:59 (Europe/Amsterdam) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 16 Nov 2025
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges
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for the processing and analysis of multimodal spatial biology datasets. Design and apply advanced image analysis algorithms for cell segmentation, feature extraction, and debarcoding for lineage tracing. Statistically