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school, and taking part in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, scientific computing, statistics, physics or a
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to the group’s open-source software, and participation in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, computer
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Engineering, Process Engineering, Data Science or a related field or a foreign degree equivalent to a PhD degree inChemistry, Chemical Engineering, Materials Science, Metallurgical Engineering, Chemical
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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parameters governing material growth based on the underlying physics, and to develop an open-source computational framework for analyzing experimental data, identifying relationships between growth conditions
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be met no later than the time the employment decision is made. Applicants should hold a PhD in Electrical Engineering, Computer Science, or a closely related field. Good collaboration skills who can
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circumstances, the doctoral degree can have been completed earlier. Additional requirements: PhD in physical geography, remote sensing, geoinformatics, forest ecology, environmental science, or a closely related
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, which provides a great opportunity to be involved in challenging development projects. Qualifications To be qualified for the position, you must hold a PhD degree in Control Engineering, Computer
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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every process that involves automation. The Postdoctoral researcher will join the research team in InAFQual, a project funded by the Interreg Aurora, a funding programme in the European Interreg community