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the undergraduate and graduate levels. Where to apply Website https://www.bth.se/english/vacancies/job/phd-student-position-in-software-engin… Requirements Research FieldComputer science » Computer systemsEducation
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version of which can be found at https://server.atkinson-lab.com/webflags . We offer Lund University is a government agency, which means you receive special benefits, generous annual leave, and an
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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ Background and description of tasks Our group develops new single-cell multiomic methods to characterize microbial
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: https://www.slu.se/institutioner/vaxtbiologi-skogsgenetik/ Read more about our benefits and what it is like to work at SLU: https://www.slu.se/om-slu/jobba-pa-slu/ PhD Student: DDLS integrative
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experimental characterisation of materials Background in multiphysics modelling Programming skills (e.g. Python, MATLAB, or similar) What you will do Pursue doctoral studies within the Graduate School of Solid
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your application: Knowledge in atmospheric science, radiative transfer and remote sensing. Knowledge in microwave radiometry. Proficiency in Python. What you will do Take courses at an advanced level
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, Neuroscience (or equivalent) Strong written and verbal communication skills in English Experience in neural signal processing, electrophysiology, or brain–computer interfaces Programming experience (e.g., Python
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, excellent study results, high proficiency in programming (preferably in Python), good communication skills with sufficient proficiency in oral and written English, personal characteristics such as a high
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strong interest in developing new theory and methods for signal processing and machine learning strong mathematical background good proficiency in programming (preferably in Python) good oral and written
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. Python, Matlab, C/C++) Strong written and verbal communication skills in English Good social skills, meaning that you enjoy collaborating with others in an interdiciplinary and international environment