142 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Chalmers University of Technology
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and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
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Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research
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The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A
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to references will be requested after the interview. We welcome your application no later than January 31, 2026 For questions please contact: Annika Lang https://www.math.chalmers.se/~langa/ Irina Pettersson
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! Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/postdoc… Requirements Research FieldBiological sciencesYears of Research Experience4 - 10 Research
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– forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14530&rmlang=UK
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, sick leave or military service. What you will do Perform analyses using mass spectrometry techniques such as TOF-SIMS Correlate mass spectrometry data with SEM and TEM results Work with data evaluation
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We are seeking a highly motivated doctoral student to develop ship physics-integrated machine learning models for real-time prediction and optimization of wind-assisted ship propulsion systems
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from game theory, mechanism design, and reinforcement learning. Applications of tools developed in the project include mobile robotics and agentic systems. Who we are looking for The following
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for documented circumstances such as parental leave, sick leave, or military service. The following experience will strengthen your application: Knowledge in tolerancing, geometry assurance, dimensional accuracy