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Field
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or a related field, awarded no more than three years prior to the application deadline*, Strong written and verbal communication skills in English, A strong publication track record. *The date on your
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Collaboration with PhD student responsible for experimental testing If there is interest, some experimental testing may be carried out Participating in project meetings and summarizing of results Keeping track
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, computer science or similar. A successful candidate should have deep and broad knowledge and experience in machine learning and related areas with a proven academic track record. Publications in leading AI/ML
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. Teamwork experiences should also be documented in the application. Since the subject is male-dominated, we encourage female applicants. Proven track record of publication will be preferable. Applicants will
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: Holds a relevant doctoral degree with a solid track record. Technical Proficiency: Expertise in bioengineering, additive manufacturing or stimuli repsonsive materials is a plus. Self-Motivated: Strongly
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agent behavior Strong collaborative skills and a track record of publications Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior
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/containerization platforms (e.g., Kubernetes, OpenStack) Ability and motivation to carry out high-quality research and development Strong track record of publications in leading Q1 journals and top-tier
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of appointment/assignment relevant to the field. Eligible doctoral degrees include Biochemistry, Cellular or Molecular Biology, Biotechnology, or related disciplines. Required Qualifications: A strong track record
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high-quality research and development Strong track record of publications in leading Q1 journals and top-tier international conferences Excellent programming skills, with demonstrated ability to develop
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, chemical) engineering, bioelectronics, plant biology or equivalent. We are looking for a candidate who is / has: Academically Strong: Holds a relevant doctoral degree with a solid track record. Technical