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doctoral thesis and public defense are eligible for appointment. The candidate must have a strong background in scientific programming (e.g., Python) The candidate must have experience in developing
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to the application deadline. It is a condition of employment that the master's degree has been awarded. Solid background in mathematics and physics is a requirement. Experience in Fortran, Python, or in a similar
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of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code repositories Proven experience in machine learning method development Fluency in
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. Applicants must be proficient in both written and oral English Advantages: Documented education or work experience in the following areas: Numerical modelling in acoustics Programming in Python and MATLAB
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programming skills in Python, R, or MATLAB, with emphasis on data analysis and method development. Solid experience in statistical analysis and data processing using relevant statistical software. Experience
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. Familiarity with R, Python, Julia, or other relevant computing languages. Experience with register data or other types of big data. Training in application of genetic data. Experience with multilevel modelling
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. Strong research background in biometric security, presentation attack detection, or digital identity systems. Demonstrated programming skills in Python, MATLAB, or C++, and experience with deep learning
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data • Solid knowledge of R, python and/or similar programming languages • Experience with teaching scientific methods • Experience with interdisciplinary science • Interaction with nature
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Experience with force measurement techniques (e.g., AFM, micropipette aspiration) or image-based stress inference methods Solid programming skills (e.g. Python, MATLAB, C+) Exposure to active matter concepts
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, audio source-separation, audio analysis, statistical modeling, machine learning, and advanced programming in Python. Excellent oral and written communication skills in English. Personal suitability and