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. Knowledge of the Norwegian language is not required. However, a good command of English is mandatory. The ideal applicant has a strong background in statistical methodology, ideally in Bayesian statistics and
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, physics or a similar area - very good programming skills in Python - good prior experience with neural networks using common Python-ML libraries such as PyTorch - background knowledge in computational
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the administration of examinations, including exam supervision. You are a Master’s student or in your final in criminology (or other humanities), with good academic results. You have a passion for academic research
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placement would provide the candidate with great opportunities for engaging with industrial experts through real-life problems, presenting to industrial audiences in annual Dyson Institute conference week
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working. You will be supported by expert supervision and an exceptional research environment. Abertay offer an extensive training and professional development program to enhance research excellence, impact
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design. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above Design, test, and optimize novel
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/Electromagnetics theory, design and simulations Machinelearning mathematics and algorithms Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written
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symptoms. A successful candidate will work with experts in chronic pain at the MMU Institute of Sport and collaborate with leading researchers across the globe. The results of this project will underpin
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neuroimaging data Proven record of ability to conduct high quality research in relevant health related subject Previous coding experience (e.g. python, bash, matlab) Good administrative skills, and the ability
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. biochemistry, biology, medicine or related academic programmes) with very good/good grades (proof of completion of the master’s degree must be submitted no later than the start of the contract) well and broadly