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- Chalmers University of Technology
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Field
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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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for instance to socio-technological networks. The Division of Automatic Control has a strong commitment to WASP (Wallenberg AI, Autonomous Systems and Software Program) . This recruitment is potentially eligible
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or production engineering. You will need strong written and verbal communication skills in English. Applicants are expected to demonstrate good potential within research including project management and education
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background in electronic circuit design. You will need strong written and verbal communication skills in English You can take on responsiblity, take own initiatives and work independently when needed You are a
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doctoral student, you will take both mandatory and elective courses, plan and carry out your research projects independently. About the employment You will be employed by and accepted as a PhD student at the
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English skills and an interest in writing Skills and aptitude for empirical research methodology, including both qualitative and quantitative methods Proficiency in Swedish is advantageous due
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will need strong written and verbal communication skills in English To be successful, you also need to be highly motivated, have a problem-solving attitude and enjoy working closely together with others
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an exceptional opportunity to be an active member in an innovative, multidisciplinary research program at the interface of plant research, biochemistry and microalgal biotechnology. Qualifications To be admitted
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are at the advanced (Master’s) level, in natural or medical sciences. Applicants must have strong oral and written communication skills in English, be capable of working independently as
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, and with close contact with students through the department’s involvement in engineering and master’s programs. Our research and teaching are conducted within seven divisions with different research