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into consideration. We are looking for someone with a doctoral degree in computational physics, applied mathematics, computer science, bioinformatics, structural biology, or a related field. Documented experience in
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, computer science, mathematics, statistics, physics, or a related area that is considered relevant for the research topic of the project, or completed courses with a minimum of 240 credits, at least 60 of which must
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or data science, with suitable specialization, in medical physics with a sufficient portion of mathematics included, or other related scientific areas. You have good skills in computer programming. A strong
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other departmental duties, up to a maximum of 20% of full-time. Your qualifications You have graduated at Master’s level in biomedical engineering, biophysics, applied physics, materials science, organic
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. The doctoral degree should be in materials science, chemistry, chemical engineering, physics, or a closely related field, with documented experience in electrochemical energy storage, battery materials
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evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
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work assignments A wide variety of physical phenomena like radio transmission, ultrasound, acoustics, or tsunami modelling involve the solution of partial differential equations (PDEs) that model wave
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opportunity to work on a collaborative, interdisciplinary project between computer science and materials science that aims to make drying process of wood more sustainable. The position As a research engineer
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statutory leave – then these may be taken into consideration. We are looking for a candidate with a doctoral degree in physics, physical chemistry, materials science, nanotechnology, spectroscopy, or a
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes