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Field
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-have: You can independently and confidently analyze quantitative data and you can write reproducible code (for example, in R or Python). Good-to-have: You have worked with large-scale text data, natural language
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the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The
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matter and nanomaterials, microbiology, and clinical wound research Preparation of high-impact scientific publications, conference contributions, and participation in international research networks As
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
public holidays International Staff Service: Support with the relocation and integration process in Germany Health Promotion: Sports, company doctor, mental health initiatives Interested in applying
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, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians
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. Support from the IBB Welcome Center with moving to a new place (https://welcome.ibb.edu.pl/ ). Delicious coffee and fruity Wednesdays. Selection process Required documents: CV including scientific
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process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university
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equality projects, such as the GENIE Initiative for gender equality and excellence . If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure
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Engineering & Structural Biology at https://www.biosustain.dtu.dk/research/research-areas/natural-products/enzyme-engineering-and-structural-biology If you are applying from abroad, you may find useful
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committed to diversity and encourages all qualified applicants to apply, regardless of their personal background. Given the nature of the project’s empirical work, applicants must be fluent, or near-fluent