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We are seeking a motivated PhD student with a background in protein engineering, structural biology, chemistry or biophysics to join our efforts in designing and characterizing membrane proteins
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system models used for the design and safety assessment of complex systems. Where to apply Website https://phd.fbk.eu/calls/detail/failure-propagation-analysis-for-safety-assessm… Requirements Research
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Good knowledge of aquatic ecology Experience with geographical information systems and spatial analysis Experience with sociological survey design Experience with ecological field studies About us Do you
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the work aligns with your goals and aspirations. For more details see https://binyshlab.com/positions/ What will you do? Conventional robotic bodies rely on computationally intensive centralized control and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 24 days ago
agentic AI systems. The central objective is to understand how sensitive information is collected, transformed, transmitted and potentially exposed throughout an agentic workflow, and to design mechanisms
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initiative during their studies, by applying programming skills to complement, automate and improve their subsea analysis and design work, and aspires to work in the subsea industry. Student type Current
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, under the following conditions: Work Plan: The main objective of the proposed work is to implement and validate a computational methodology for the 3D geological modelling of complex mineralized systems
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postgraduate students are hosted in our vibrant, multidisciplinary https://www.abertay.ac.uk/schools/graduate-school/ Graduate School, designed to promote integration and collaborative working. You will be
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
framework designed to become a benchmark in the field. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10332 Requirements Skills/Qualifications Qualification: Master or equivalent
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions