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hemocompatible coating strategies to improve membrane–blood interactions. - Model and optimize membrane performance using computational tools, machine learning, and artificial intelligence Work Plan - Synthesis
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of photovoltaic solar potential Duration: 3 months Maximum Duration Including Renewals: 3 months Monthly Maintenance Allowance: €1,851.00 Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions
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fully funded PhD position in the area of safe data-driven system identification for cyber-physical systems, offered by our research group at the intersection of control theory, machine learning, and
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present the results at national and international conferences, and contribute to the department’s teaching programs. Where to apply Website https://www.academictransfer.com/en/jobs/360204/team-hire-2-phd
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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must be fulfilled there until the contracting act. Activity Outline: Conduct research within the scope of the project "Uma abordagem auto-consistente às leis da natureza". This work focuses on applying
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using AI to solve the world’s most pressing challenges? Do you believe that technology should serve a higher purpose? The Civic Machines Lab at the Technical University of Munich (TUM) is looking for a
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with