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) numerical analysis and real or elementary functional analysis; (b) probability theory; (c) implementation of computational methods using, for example, Julia or Python. To apply, please contact the main
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 4 days ago
and fUSI studies, including data analysis (e.g., Afni, Matlab, Python), MRI physics & sequence development, rodent handling, behavioral experiments and surgery. Our mission is to build a supportive and
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and fast optical modulators. - FPGA support to the team. - Sofware support to the team (Python, C++) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research
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, machine learning (PINN, supervised learning) - Python/PyTorch programming - Autonomy, curiosity, and adaptability - Excellent writing skills Specific Requirements The doctoral student's host laboratory is
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, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm
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independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Participation
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statistical analyses using Stata and Python. Review relevant academic literature and summarize findings. Prepare tables, figures, and documentation for research papers and presentations. Support other research
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physical techniques eg laser and optical instrumentation; computational/numerical modelling programming skills eg Python, FORTRAN, C++. Eligibility Open to both UK and International applicants, including EU
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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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languages (e.g., Python or R) Strong motivation and curiosity Ability to work in an interdisciplinary team Structured and independent way of working We offer: An exciting and highly topical research project