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development for powder-based metal AM technologies covering the whole AM chain. CAM2 is hosted by the Division of Materials and Manufacture at the Department of Industrial and Materials Science. The division
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focus on leaching, crystallization, and synthesis of battery-relevant materials. About the division and research groups The position is placed within the Industrial Materials Recycling group, in
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of these subject areas. For more information about the department or division visit: Southern Swedish Forest Research Centre | slu.se Read more about our benefits and working at SLU by visiting: https://www.slu.se
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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submit your application by clicking on the "Apply" button below. The scientific publications that you do not have in digital form are to be sent by post to: Mälardalen University Division of Human
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at the division of Statistics and Machine Learning (STIMA) or Artificial Intelligence and Integrated Computer Systems (AIICS). Read more about STIMA: https://liu.se/en/organisation/liu/ida/stima Read more about
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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
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post to: Mälardalen University Division of Human Resources Ref.no: 2025/0832 Box 883 SE-721 23 Västerås, SWEDEN The applicant is responsible for ensuring that the application is complete in accordance
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of environmentally sustainable pest and disease control strategies, both in Sweden and internationally. For more information about the department or division visit: Department of Plant Protection Biology
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published several articles in peer-reviewed journals. Excellent communicative skills are required, including fluency in oral and written English. The workplace You will be employed by the Division