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reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing methods to make AI systems trustworthy
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Matlab, Python, Fortran or C/C++) will be beneficial. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. The studentship covers
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advantage. - Experience with programming languages (e.g. python, C++) is considered a plus. - A strong team player, with well-developed communication and collaboration skills. - Excellent command of written
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characterizing defects such as dislocations Applying generative models (e.g., GANs, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities
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data to decode multisensory information Investigate how neural representations change across different brain states (awake, asleep, engaged) and track representational drift over extended time periods
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advantage. Experience with programming languages (e.g. python, C++) is considered a plus. A strong team player, with well-developed communication and collaboration skills. Excellent command of written and
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other empirical damage and vulnerability data. Couple the ABM with the Regional Flood Model (RFM) to describe temporal developments of flood risk considering adaptation decisions. Different adaptation
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an exceptional international team with expertise in all aspects of the project. Your tasks will include: • Preparation of different EO and in-situ datasets for training a machine learning model • Development of ML
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laser pulses for next-generation spectroscopy, sensing, and light–matter control. The student will utilise different materials platforms with two-photon polymerisation (2PP) 3D printing to fabricate
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Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety