82 programming-language-"St"-"University-of-St"-"St"-"FEMTO-ST" positions at University of Lund in Sweden
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satisfiability (SAT) solving, Gröbner basis computations, integer linear programming, and constraint programming. This leads to classical questions in computational complexity theory—though often with new
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users and colleagues. Fluent knowledge of Swedish and English (spoken and written). Experience with MS Office programs. Meritorious Previous experience working in a cleanroom environment is not necessary
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- Experience in flow cytometry - Excellent written and spoken English Great importance will be attached to the compatibility of the applicant’s professional and personal disposition. We aim to find a candidate
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. Interest in power electronics, power systems, electromobility. Programming skills in relevant languages, e.g. Python or MATLAB. Knowledge about battery pack testing and design. Experience with statistics and
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proficiency in English. You have not previously been employed as a postdoc researcher under this agreement for more than one year in the same or a related subject area with Lund University. Assessment criteria
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the doctoral programme in question, the following are also required: Excellent proficiency in Swedish, spoken and written. Very good knowledge of English, spoken and written Strong ability to work independently
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spectrometry or alternatively structural biology. Knowledge in data analysis and statistics. Strong ability to communicate effectively in English, both orally and in writing. Documented experience in scientific
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written proficiency in English. Meritorious for the position are: The assessment of applicants will be based primarily on their scientific merit and potential as researchers. Emphasis will be placed
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natural sciences in a subject relevant to NanoMAX Demonstrated knowledge of experience with nanoprobe scanning and/or coherent techniques using X-rays Good Python programming skills, a working knowledge of
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description The PhD student will: plan and conduct imaging studies on patients and healthy volunteers analyze image and perfusion data using LSCI, OCT, and HSI interpret physiological parameters and correlate