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, and ion transport is strongly desirable. ● Good command of scientific programming (e.g., Python, C/C++) and scripting for simulations and data analysis. ● Interest or experience in AI/ML tools applied
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FieldBiological sciencesYears of Research ExperienceNone Additional Information Eligibility criteria - stereotactic surgery in rodents - two-photon imaging - analysis using Python and MatLab - scientific writing
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facility belonging to SciLifeLab, part of a national infrastructure for research in life science. The creative and research-intense environment contributes to a broad knowledge-base as well as cutting-edge
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the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin (for Android
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languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer architectures, attention mechanisms, and fine tuning techniques
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microcontrollers (e.g., Arduino). Analysis and processing of biological signals Development of algorithms in Python for real-time signal processing. Extraction and analysis of multi-signal cross-frequency coupling
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Eligibility criteria - Solid background in fluid mechanics - Expertise in Python - Oral and written communication in English - Interest in interdisciplinary environment Website for additional job details https
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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to the proposed area of research. You should have experience in finite element modelling and data-driven multiphysics approaches. Fluency in Python, Fortran, MATLAB and/or C/C++ and prior work with common finite