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multidisciplinary environments Curiosity-driven and self-motivated working attitude Knowledge of biomechanical modeling, anatomy, vision-based motion capture, machine learning, control systems Keep in mind
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explore new opportunities in semiconductor quantum technology and work to push the boundaries of quantum control in semiconductor qubits. The Veldhorst group is a dynamic group studying timely topics. Near
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, or MATLAB, and Linux command-line tools including Bash scripting and running analyses on high-performance computing systems. Experience with, or ability to learn, the evolutionary simulation software SLiM
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with the principles of the State Employees Act , and Export control
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apply. Understand ML/DL frameworks such as TensorFlow and PyTorch. Familiar with version control systems such as Github, Git, etc. TOEFL, IETLS or other certificates that can prove your English level
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start date of 1st of October 2026. The PhD position is part of the research project "fermentAtIon: AI controlled fermentation for microbial lipid production" funded by the Research Council of Norway
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2 Sep 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering » Electronic engineering Researcher Profile Other Profession
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of the Software Engineering unit. About the project Software is today prominent in many critical systems and infrastructures, such as power distribution systems, railway infrastructure, or flight control systems
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of the key challenges facing the hydrogen economy: understanding how hydrogen interacts with the complex microstructures of circular steels and causes degradation and failure. This position is part of
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informed of my rights described above. Please be informed that the controller of your personal data is the Łukasiewicz Research Network – Krakow Institute of Technology (hereinafter: the “Institute”), with