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and mechanical alternations resulting from machining processes, particularly in the context of machining difficult-to-cut alloys. The project will be carried out in collaboration with several Swedish
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Flow cytometry Experience of research in the field of reproductive immunology and of proteomic analysis is advantageous. The job requires excellent proficiency in English, both spoken and written. As a
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courses in hydraulics, control engineering, mechanical engineering, and electrical engineering. You express yourself professionally in English and preferably also in Swedish, but it is not a requirement
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is research in machine learning with applications in science. The aim is to develop novel machine learning and other data driven AI methods for scaling up and improving scientific processes beyond what
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meritorious. Python programming skills are required. Since research and collaborations are conducted in English, good knowledge of written and oral communication in English is a requirement. Eligible for
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AlphaFold, to optimize and enhance our structural predictions and understand the true dynamic nature of biomolecules. As a PhD candidate, you will: Utilize computational methods, AI techniques, and tools like
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understand the true dynamic nature of biomolecules. As a PhD candidate, you will: Utilize computational methods, AI techniques, and tools like AlphaFold to analyze and model biomolecular structures, dynamics
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techniques. As the communication of research results mainly takes place in English, this employment requires advanced skills in English, both spoken and written. It is an advantage if you also have advanced
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group. You must also have excellent oral and written communication skills in English. You should enjoy working as part of a team, and be willing to learn from your co-workers and to share your knowledge
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to engage with colleagues and cooperate in supporting the activities of the research group. You must also have excellent oral and written communication skills in English. You should enjoy working as part of a