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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 days ago
geometric transformer model to predict protein binding interfaces in flexible and disordered regions. Cell Systems, 10.1016/j.cels.2025.101454 The PhD candidate will: Curate and analyze large-scale datasets
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Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting
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comparative data by fitting Ornstein–Uhlenbeck models with stepwise AIC. Methods in Ecology and Evolution. Klingenberg, C. P. (2016). Analyzing fluctuating asymmetry with geometric morphometrics: concepts
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 12 days ago
or Engineering Where to apply Website https://www.iisgm.com/ofertas-de-empleo/ Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Minimum job requirements: The
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is to develop high-fidelity models based on a test-calculation dialogue, seeking the best compromise between the degree of accuracy, the level of complexity, and the effort required to identify
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generative models, methods for approximate inference, probabilistic programming, Bayesian deep learning, causal inference, reinforcement learning, graph neural networks, and geometric deep learning. Want
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, with a particular affinity for geometric and model-based approaches to 3D understanding, is considered an asset. You have a proactive and independent working attitude. You can report clearly, both orally
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 19 days ago
student in the scope of the: PROMOTE-BIO- Advancing Personalized Shoulder Medicine through Automated Biomechanical Modeling: A Proof of Concept in Glenohumeral Osteoarthritis with the financial support of
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2030 program (see https://www.pepr-risques.fr/fr/programme-de-recherche-risques-irima ). IRIMA is led by CNRS, Grenoble Alpes University and BRGM, and aims to structure and strengthen hazard and risk
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
, coupling fluid flow and heat transfer phenomena with desorption kinetics. The developed model will be informed by operational data from real industrial sites and will incorporate literature data for common