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: Cover Letter (written in English) including the date of application, name, e-mail address, phone number at which the applicant can be contacted, and a brief description of motivation/reason for applying
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science, computational biology or other relevant fields. Applicants must have excellent skills in English (oral and written) and be independent, creative, and dependable. Applicants should have several publications in
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and motivation. Ideal candidates will possess critical thinking abilities, excellent oral and written communication skills in English, and a collaborative mindset. Additionally, they should demonstrate
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, or statistics. The fellow is expected to be proficient in written and spoken English, and able to communicate scientific results clearly. Strong merits include experience in quantitative data analysis and
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. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a department, we value having a pleasant and informal working environment across all job
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for plants and Physics. A background in plant ecophysiology would be ideal, but is not required. · You have programming experience, knowledge of Python and Git is a plus. · You have a
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researcher should have expertise in materials/mechanical/electrical engineering with an excellent understanding of fluid mechanics as well as experience with Arduino/Raspberry Pi programming, 3D printing and
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willingness to learn quickly Fluent English Ability to work both independently and in collaboration We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming
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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
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, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc