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an academic, research, or innovation-focused environment. Advanced technical capability: skilled in advanced Excel, analytics platforms and hands¿on programming (Python or similar), with a strong understanding
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expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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publication record in top-tier venues: ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC. Proficiency in Python, C++, ROS, and machine learning frameworks such as PyTorch or TensorFlow. Excellent
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requirements for a master thesis in physics, computer science or an adjacent subject Knowledge in quantum computing Programming skills (preferably Python, Qiskit or Pennylane) Experience with working in Linux
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(shell-scripting, Python, LaTeX, etc.) Salary and employment conditions The employment is made in accordance with the Collective Agreement between the Danish Ministry of Taxation and the Organisations
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infrastructure, and supply chains. Extract, process, validate, and visualize data using MS Office and/or Python. What you bring to the table You are a registered student in the following subjects in natural
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ability to think critically about scientific analysis in order to ensure robust results Computational skills to include experience of using a statistical package (e.g., R, MATLAB or Python) Ability to work
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. • Proficient experience with various robotics simulators (e.g., MuJoCo, PyBullet, Gazebo) and excellent programming skills in C++, Python, and MATLAB with the ability to develop efficient, production-quality
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software programs that support this work such as Esri’s ArcGIS suite, Adobe Creative suite (InDesign, Illustrator, Photoshop), R, and/or Python. Preferred Qualifications • Experience with Esri’s ArcGIS suite
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
, or related field. Proficiency working with unstructured data in Python and/or R. Demonstrated advanced data skills, including data cleaning/wrangling/normalization, using regular expressions, and reshaping