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. Equilibrating such films by brute-force molecular dynamics is prohibitively slow. Instead, we build them using diffusion models at coarse-grained resolution, formulated so that the model yields not only realistic
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. The scholarship holder can join the Voluntary Social Security (valid for a scholarship contract equal to or greater than six months), being optional and the reimbursement corresponding to the 1st Bracket
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disciplines. Generative AI and AI agents are rapidly changing how software-based systems are being designed, developed, and evaluated. While AI agents have become common in certain Software Engineering tasks
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genotyping and phenotyping for the selection of organisms “climate-ready”, stress-resilient, and producing sustainably. Where to apply Website https://pica.cineca.it/unina/ Requirements Additional Information
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 1 day ago
particularly relevant, although it is not mandatory. Experience with experimental animal models, molecular and cellular biology techniques, stereotaxic procedures, metabolic phenotyping, imaging, transcriptomics
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that reflect real human diversity. What you will do In this project, you will work with human induced pluripotent stem cells (iPSCs) and primary cells derived from donors with different (genetic) backgrounds. By
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, race, ethnicity, religion or belief, sexual orientation or age. We encourage people from diverse backgrounds and with diverse characteristics to apply. Where to apply Website https
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development and well-being There are many good reasons why you should choose a working life at GEUS. We are a diverse staff of about 300 committed employees. Trust and flexibility are keywords. The working
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Work as a team player, contributing to the activities and wider aims of DECISION project. You will work here This PhD position will be situated between the Animal Production Systems (APS) group and the
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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI