914 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions in Sweden
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are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives
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below. Your application, including diplomas, must be written in English or Swedish. Closing date for applications: April 8, 2026 Reference number: 2285-2026 URL to this page https://web103.reachmee.com
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attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and
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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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geometries. However, AM-generated surfaces exhibit significant and highly irregular roughness, a key factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined
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description Veterinary bacteriology includes how pathogenic bacteria function, acquire new properties and spread in sport, companion and food animals (horse, dog, cat, cattle, goat, sheep, pig, poultry and
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manufacturing. It is meritorious to have previous experience in data analysis and processing with Python (or similar), preferably including documented experience with machine learning tools. It is meritorious
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, development of chemical process solutions for repurposing of electrodes, and integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and
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–society relations, education systems, school development and leadership, adult education, inclusion, learning, language and assessment, and grading. A large part of the department’s undergraduate education
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, funded by Kempe fundation is full-time for two years with access may 2026 or by agreement. Departmental specific information The research group led by Jonas von Hofsten (https://www.umu.se/en/staff/jonas