116 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "J" positions at Aalborg University in Denmark
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. Your competencies We thus imagine that you: have a strong background in digital signal processing and machine learning; have substantial experience with scientific computing in Python/C++/ROS; know
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supervision and should be able to independently plan and conduct teaching within the subjects of non-linear and multivariable control methods as well as other subjects related to mechatronics. Qualification
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approximately 1,200 students across the twocities. Our research and study programmes arerooted in sustainability and the green transition. This meansweconduct research in areassuch as the circulareconomy
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colleagues from Media Technology, Lighting Design and Sound and Music Computing. Qualification requirements Appointment as a research assistant requires academic qualifications at master's degree level. How
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skills with the ability to connect theoretical modeling to practical, experimental data. experience with relevant computational tools (e.g., MATLAB, Python, or similar scientific programming environments
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compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial metagenomics and Oxford Nanopore Technologies sequencing, wet lab
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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within DNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics and advanced microscopy. Your competencies Documented experience with large scale microbial
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of orthopedic devices. The role will involve leveraging computational models and experimental techniques to address both fundamental and clinical research questions. Candidates should have experience in designing
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level the candidate is expected to be able to communicate in Danish. Who we are In the Automation & Control section, we focus on developing mathematical and computational methods for modeling, estimation