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validating mechatronic systems. Experimental methods and testing Programming and software development, specifically with Python-based engineering software development and hardware interfacing. Excellent oral
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high-throughput sequencing to generate, analyze and integrate transcriptomic and epigenetic datasets To genetically (CRISPR/Cas9, shRNA) or pharmacologically (small molecules) perturb molecular targets
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. Ability to develop, understand, and critically evaluate machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal
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, computer science or a related discipline. Experience with Python or another scientific programming language would be highly desirable. Prior experience with GNSS-IR or data assimilation is not essential, provided
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in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life
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To be qualified for the position, you must have an MSc degree in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong
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instability and disease. The project offers extensive training in state-of-the-art approaches, including: CRISPR-based genome engineering quantitative high-content imaging and live-cell microscopy AI-assisted
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/genome biology, minimum grade B (ECTS grading scale) or equivalent. The Master’s degree must include a thesis of at least 30 ECTS. Programming skills in Python, R or equivalent scientific computing
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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. Python, MATLAB). You will have the opportunity to participate in digital Norwegian language courses during your employment. Advantageous knowledge and skills Experience of working with SuperDARN and EISCAT