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Field
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closely related sectors. Experience with Python, MATLAB, R, or other programming languages for data processing and statistical analysis. Proficiency in scientific communication and writing. Basic skills
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or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness to participate in sea
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an advantage. Knowledge on programming skills (Matlab, C) are considered an advantage. You are willing to learn MRI and X-ray CT imaging methods. Do you like to collaborate with industrial partners? Are you
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Matlab or Python. Experience with neuroscience techniques (e.g. EEG) is a plus. You possess proven problem-solving skills and an ability to take a strong, positive and proactive approach to work. You have
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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
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or magnetometry • Numerical and analytical approaches (e.g., MATLAB, Mathematica, etc.) Training and resources Modelling component: The successful candidate will develop several computational skills in terms
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., Python, R, MATLAB) Experience in built environment monitoring Fluent English skills, both written and spoken. Ability to publish the research results in high-reputation international journals Personal
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have: good knowledge of quantum mechanics knowledge of electromagnetism and solid-state physics experience with scientific programming with e.g. Python, Matlab, Julia experience with writing a scientific
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(Python, MATLAB) for behavioral data analysis Preferred Qualifications: Experience with rodent behavior assays Familiarity with tools like DeepLabCut, MoSeq, or Kinect-based systems Interest
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behavioral neuroscience, development, or ASD Programming experience (Python, MATLAB) for behavioral data analysis Preferred Qualifications: Experience with rodent behavior assays Familiarity