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responsible for project milestones and deliverables. Teach and supervise MSc student projects For this position, experience with simulation development and coding is essential. We expect the candidate to have
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qualification, you must hold an MSc degree (or equivalent) within Materials Science, Mechanical Engineering, or related field Experience with corrosion and metallurgy, electrochemical methods, microstructure
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background in enzymology and/or biocatalysis (protein expression and purification, enzyme characterization, enzyme kinetics), Practical experience in molecular biology techniques, especially those related
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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successful candidate will have previous experience in computer science or data science, with a PhD and publications in at least one of the following areas: Formal modelling and verification of business
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, policy design and ultimately for the adoption of low-emission practices. We welcome candidates with experience of using qualitative or participatory methodologies, as well as experience of combining
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on sharing knowledge with an open mind. You will also need your systematic approach to project work and planning. Additionally, your CV comprises: Solid knowledge and hands on experience with heterologous
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, policy design and ultimately for the adoption of low-emission practices. We welcome candidates with experience of using qualitative or participatory methodologies, as well as experience of combining
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determine ideal nano-composites for permanent magnets. In collaboration with Aarhus University, you will get to validate your modelling results against experiments. You will also get to supervise a PhD
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code