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application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position We are seeking a highly motivated PhD candidate
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work both independently and as part of a team. You are open-minded, communicative and collegial towards your co-workers. You actively contribute to the department’s general operation and practical
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8 Jul 2026 Job Information Organisation/Company Foundation for Research and Technology Department Institute of Electronic Structure and Laser (IESL) Research Field Engineering » Computer engineering
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an international environment—making it an outstanding place for PhD candidates to carry out high-impact, interdisciplinary research. Your Job This PhD project investigates the nanoscale processes underlying light-to
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a doctoral student, you will also, under supervision: Contribute to various stages of the scientific publication process Present scientific results in different forums Apply for research funding
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students are 100% full-time employment contracts and salary determined by EU MSCA regulations. MSCA mobility and family allowance (where applicable) Application procedure All applications must be submitted
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novel organic photocatalysts tailored to these processes. The development of these photocatalysts will be supported by theoretical modelling and AI-based tools in close collaboration with a project
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(between one and two weeks for each mission). A knowledge of various data processing techniques is essential, as is the ability to create reliable databases. Knowledge of the operation of an electrical grid
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(DRG) isolation, processing, and analysis Desirable Qualifications: Experience with statistical analysis software such as GraphPad Prism or R Experience with catch-clamp recording Experience with Ca2
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
- SIPG LAB/ISR and 1801P.01460.1.04 LARSYS/ISR BASE 2025-2029 – SIPG LAB/ISR, financed by national funds through FCT/MCTES Workplan: Develop new representations for computer vision and machine learning