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hold a PhD, or have submitted a PhD thesis before the starting date, in computational materials science, physics, theoretical or computational chemistry, or a closely related field. The successful
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significant contributions to fundamental machine learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics
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investigator: Associate Professor Palle Villesen. Your competences You have academic qualifications at PhD level, for example within the following areas bioinformatics, data science, computer science, or another
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looking for? Applicants should hold a PhD degree or equivalent in Computer Science or a related field and have good written and oral English skills. The assessment of qualifications will also be made based
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study design, data analysis, manuscript preparation, presenting findings at international conferences, and mentoring students. Your competencies The ideal candidate has: A PhD in machine learning
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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advantage. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. Applicants who have submitted or are close to submitting their PhD thesis before the appointment
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with open-source scientific programming frameworks, such as PETSc, or BEM-specific solvers such as BEMPP Qualification requirements Appointment as postdoc requires academic a PhD in Applied Mathematics
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at both academic and non-academic audiences. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. How to apply Your application must include the following
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assistant requires a master’s degree and the position as postdoc requires a PhD degree. In both cases an educational background within robotics, mechanical engineering, electrical engineering, computer science