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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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the newest developments in 3D printing and test innovative ideas through hands-on experimentation. You have experience with digital design and control tools such as MATLAB, Python, or ROS, and possibly with
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern
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techniques such as thermal drones and AI modeling, with Python, R-Studio, Yolo, SLEAP, LabGym. The applicant must have proficiency in RStudio and GIS tools, as these skills are essential for data analysis and
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programming skills (R, Python or Matlab) Creative thinking Level of enthusiasm and motivation We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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statistics. Advanced programming skills. Advanced verbal and written communication skills (fluency in English is required). Desirable: Fluency in Python. Experience with algorithm design, machine learning and
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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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Excel, Word and PowerPoint. Strong organizational skills and able to work on multiple concurrent activities. Python programming experience is a plus. EXPERIENCE REQUIRED Undergraduate degree or equivalent
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measurement techniques/ sensors. Experience with system modelling and simulation (e.g., TRNSYS, Python, or similar tools). System and control engineering (e.g. digital twins, model predictive control) –pre