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Qualifications Education: ABD status by start date. PhD by start date in a field relevant to the research being conducted. PhD after one year of employment. Technical Skills or Knowledge: Proficiency in Python and
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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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and databases is advantageous Proficiency in programming with C and Python (especially in the context of open-source software projects) Basic knowledge of HTML, CSS, or similar technologies
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and electrical and optical systems Skills Essential C1 Skills in TCAD simulation as well as Python or appropriate programming language for developing SPAD specific simulation models, and the ability
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economics and previous experience as a teaching assistant is a plus Preferred research skills include undergraduate research experience, coursework in statistics or econometrics, coding skills in R or Python
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cognitive tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and
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training and evaluating deep learning models, particularly on 3D or volumetric image data. Experience with detection, segmentation, or inverse problems in imaging is strongly preferred. Strong Python skills
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your application: Knowledge in atmospheric science, radiative transfer and remote sensing. Knowledge in microwave radiometry. Proficiency in Python. What you will do Take courses at an advanced level
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with experimental characterisation of materials Background in multiphysics modelling Programming skills (e.g. Python, MATLAB, or similar) What you will do Pursue doctoral studies within the Graduate
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. Experience with programming languages such as R, Python, Perl or equivalent. Experience working in a UNIX/Linux environment. At least one year of programming or bioinformatics experience. Strong written and