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after you have submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech
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, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities and salary range Technical Sciences refers to the Ministerial Order on the Appointment
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compliance standards and publish research in leading journals and conferences. Your competencies The successful candidate must hold a PhD in Electrical Engineering, Power Electronics and control with strong
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submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities
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into consideration. If you wish to add a referee after you have submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position
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Associations). Application Applications must be submitted electronically using the link “Apply now” - see below. We strongly recommend that you read How to apply for a position at SDU before you apply. Only
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Engineering, Power Electronics and control with strong focus on AI and machine learning and should be able to design and validate advanced control strategies for grid-forming inverters, apply AI and machine
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of computer-aided tools for chemical and biochemical product and process modeling, process synthesis, design, analysis and operation. The tools are applied in the chemical, petrochemical, pharmaceutical
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submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities
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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge