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electrons play a key role. Understanding how these states form in condensed matter is vital for mastering novel material functionalities. To date, most studies have focused on detecting such states and
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will be a practical workflow to guide the choice of capture technologies tailored to individual plants. Job description Your primary task will be to review, harmonize, and adapt models of CO2 capture
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Interact with national and international teams of mathematicians and computer scientists PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates
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degrees in English (Bachelor's and Master's) Three professional reference contacts, including an email and a direct phone number to reach them A publication or thesis work sampling your academic reasoning
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your research motivation, interests, and experience Curriculum Vitae (CV) Academic transcripts of all degrees in English (Bachelor's and Master's) Three professional reference contacts, including
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. Applicants should hold a master degree, or are expected to hold one within a year. The application should include a CV, research statement, publication list, and at least 2 letters of recommendation. Screening
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research work (master project or undergraduate project), pointing out the question of the project, the methods used, the obtained results, and your interpretation of the results them. Also, what you learned
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Requirements Skills/Qualifications required skills and qualifications: A first-class Master's degree in chemistry, biochemistry, bioinformatics or a related field, awarded prior to the start of the contract
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Required: Master's degree (or equivalent) in Biochemistry, Biophysics, Structural Biology, or a related field Strong background in protein science and/or biophysical methods Interest in protein folding
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communication Master's degree (or equivalent) in physics or a related field strong motivation for experimental condensed matter physics, with enthusiasm for both building instruments and using them to answer