143 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" PhD positions in Denmark
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be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
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general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Educational Institutions. According to the Ministerial Order, the
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Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall
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. The allowance will be agreed upon with the relevant union. The expected starting date is 1 September 2025. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment
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. The allowance will be agreed upon with the relevant union. The expected starting date is 1 September 2025. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessments of the applicants will be made by Asst. Prof. Soumik Ray at DTU Bioengineering. We offer DTU is a leading
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by: Head of Section
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mechanics, or similar relevant areas. Demonstrated programming skills (e.g., MATLAB, Python) for model development and simulation. Excellent communication skills in English, both written and verbal. Mobility
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. Programming skills in Python, with experience in deep learning frameworks such as TensorFlow or PyTorch. Experience with computer vision techniques, image processing, and neural networks. Familiarity with