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Field
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. Python, MATLAB, or similar); excellent written and spoken English. Prior experience with superconducting circuits, low-temperature physics, optics, microwave engineering, or nanofabrication is welcome but
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and ferroptosis. For more information, visit: https://konradlab.univie.ac.at/ Your future tasks: The most commonly used techniques for the project are chemical synthesis as well as the analysis
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, eye-tracking and EEG data You develop software in Python using common machine learning frameworks (e.g., TensorFlow and PyTorch) You support the development of research prototypes and frontend
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experience in modern statistical methods, statistical and machine learning, and AI is advantageous Excellent knowledge of SPSS; knowledge of STATA and/or R and/or Python is an advantage. Interest in mixed
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concepts Proficiency in R and Python Experience with cancer genomics, single-cell RNA-seq and/or ATAC-seq analysis (strongly preferred) Ability to work independently as well as collaboratively in
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highly desirable. Proficiency in programming languages such as Python or C++. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and advanced data analysis tools. Excellent problem
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Proficiency in R and Python Experience with cancer genomics, single-cell RNA-seq and/or ATAC-seq analysis (strongly preferred) Ability to work independently as well as collaboratively in an interdisciplinary
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, Human-Computer-Interaction Programming skills in web technologies (e.g., Java Script, TypeScript, D3.js) as well as Scripting Languages (Python and R) are of advantage Strong motivation and commitment
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neuroimaging, TMS, EEG and pharmacological manipulations. For more information: https://clin-soc-neurosc-psy.univie.ac.at/ The research group actively promotes open and reproductible science (e.g., through
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neuroimaging, TMS, EEG and pharmacological manipulations. For more information: https://clin-soc-neurosc-psy.univie.ac.at/ The research group actively promotes open and reproductible science (e.g., through