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to religious and worldview diversity for individuals in public service such as administration, health care, correctional facilities or the armed forces. The position's mandatory work (25%) will consist
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related field. Documented expertise in machine learning and time-series modelling (e.g. LSTM, XGBoost, CNN). Strong programming skills in languages such as Python and R. Experience with phenotyping data
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the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will join the research group in risk management and
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education sciences is theme-based and interdisciplinary. The doctorate has three main fields of study: language, literature, and history; cultural studies, art, and sports; educational research, learning
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team, with an interest in cross-disciplinary learning. The evaluation of candidates will place particular emphasis on personal and interpersonal qualities. We offer An exciting job with an important
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plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The appointed
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Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering
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proficient in conducting quantitative analyses. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. Alongside
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2028. The successful candidate will primarily teach and supervise students in the department’s bachelor’s and master’s programmes in Classical Languages (Ancient Greek and Latin, with an emphasis
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expected to acquire during the employment period. The Postdoctoral Fellow will also have access to career guidance throughout the postdoctoral period. The postdoctoral researcher will be employed for a