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of experimental research methods; • Basic skills in statistics and data analysis; • Proficiency in at least one scientific programming language (R, MATLAB, or Python); • Strong analytical and organizational
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+ years of experience in Wireless DSP and have extensive knowledge of communication systems. You are fluent in MATLAB or Python. You are able and willing to obtain Security Clearance (National, EU, NATO
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FieldComputer scienceEducation LevelMaster Degree or equivalent Skills/Qualifications Strong foundations in Machine Learning and Deep Learning Excellent Python programming skills Experience with PyTorch
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, mechatronics, robotics, or applied physics Additive manufacturing / 3D printing and experimental mechanics Numerical modelling (FEA) and/or programming (Python/Matlab) Experience with 4D printing or SMPs is
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experimental data acquisition system (LabView, etc.) and programming skills (Python, etc.) for data analysis would be a plus. Familiarity of cryogenics is not necessary. Intrinsic orientation for research and
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processing skills in Python or Matlab. Proficiency in written and spoken English. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and
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, structure preserving deep learning, stochastic differential equations, generative AI, numerical optimization. Strong programming skills (Python, Julia, Jax). Experience with numerical optimization is also
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plus Proficiency in at least one major programming language, such as Python, is expected Familiarity with deep learning frameworks and modern NLP toolkits is an advantage Motivation to publish research
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the ability to analyse experimental data using Python, MATLAB, Origin, Excel, or similar tools. Good laboratory discipline, safety awareness, record keeping, teamwork, and communication skills. Entry-level
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Science, Applied Mathematics or a closely related field. A strong mathematical background (probability, linear algebra, optimisation) and proficiency in programming (preferably Python/Matlab) are essential. Prior