146 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"VIETNAMESE-GERMAN-UNIVERSITY" positions in Sweden
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completed their doctoral degree prior to that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Application deadline 2026-02-27
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Application deadline 2026-02-27
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace x Application deadline 2026-02
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Assistant Professor, you will contribute to a learning environment that promotes students’ responsibility for their learning in a dynamic and stimulating setting, in close collaboration with colleagues from
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, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant
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absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment
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be eligible. Special reasons include absence due to illness, parental leave, military service or similar circumstances, as well as other forms of appointment/assignment relevant to the subject area
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lidar. The development is done by raytracing, Computer Aided Design and 3D printing. After calibration, the instruments will be tested in field for applications within bloodsucking disease vectors as
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in