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to communicate in Swedish is considered an asset, but is not a requirement. If the candidate does not have proficiency in Swedish at the time of appointment, he/she is expected to acquire the language during
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student is supposed to learn how forestry works and to conduct tasks independently. It will also create opportunities to connect research to applications in operational work. Qualifications: We are looking
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if you have worked with prediction models, machine learning or AI models and are familiar with blood cells such as neutrophils, leukocytes and platelets. Work experience in the area is meritorious. If you
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presents a unique opportunity to join a cohort of other doctoral researchers in the research school and learn alongside each other in carefully designed courses that align with the excellence centre’s
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student at Chalmers, you are an employee and enjoy all employee benefits. The position is limited to four (4) years, with the possibility to teach up to 10%, which extends the position to 4.5 years
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and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees. The position is limited to four years, with the possibility to teach up to 20%, which extends
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teach bachelor, Masters and PhD level courses addressing all of these subject areas. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu
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, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time
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humans and society at large is either fully automated or heavily relies on automatically provided decision support. While machine learning approaches become increasingly prevalent in this context
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, dynamic programming , statistical signal processing, reinforcement learning, and have good programming skills in Python and MATLAB. - Ability to work independently and ability to formulate and tackle