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quantitative and analytical skills. Experience with programming and data analysis (preferably in R; experience with Python, Julia, Matlab, or similar is also valuable). Experience in using AI to operate said
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training. Requirements: - Required qualifications: as indicated in Annex III of the Call for Applications. - Knowledge of SolidWorks 3D modeling software. - Experience in programming using Python or Matlab
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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good knowledge of Python Experience with machine learning, in particular with neural networks and their implementation (PyTorch, TensorFlow or similar) Motivation and Initiative Residence in Berlin and
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such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in R or Python). Excellent written and verbal English skills, strong communication and
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Time-Domain Spectroscopy, Hall measurements, Raman microscopy, device fabrication, Scanning Electron Microscopy, Instrument control in LabVIEW or python, synthesis of 2D materials, 2D materials
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, or job experience. Proficiency in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 20 days ago
statistical and econometric analysis, and produces tables and figures using statistical programming languages (R, Stata, or Python) Writes memos summarizing methods and results, and contributes to academic
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degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field. Strong programming skills in Python, with experience in relevant
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modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record