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and contribute to a range of exciting collaborative projects and develop new projects. PhD in a relevant field is required. Strong track record of productivity is essential. Experience with biological
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-information ) 4)copy of the diploma of higher education confirming the obtained master’s degree or an equivalent degree 5)a certified copy of the PhD diploma 6)a list of research, teaching and organizational
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other qualifying activity) Transcripts of records, copies of the original bachelor’s, master’s and PhD degree diploma Documentation of English proficiency if applicable List of publications and academic
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, for example, maternity leave, since your research activities are assessed in relation to your actual research time Education (diploma for master's, PhD and possibly higher doctoral degree) List of publications
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organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Additional requirements are: A PhD in biochemistry
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/ Heavy-ion physics Appl Deadline: 2025/12/13 04:59 AM UnitedKingdomTime (posted 2025/11/07 05:00 AM UnitedKingdomTime, listed until 2026/05/08 04:59 AM UnitedKingdomTime) Position Description: Apply
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
independently, has a passion for AI and its applications, and is willing to learn new technologies. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills
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depending on the candidate’s experience and qualification. Candidates should have a PhD in Chemistry, Chemical Engineering, Bioengineering, Immunology or a related field. We welcome applicants with recent
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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions
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their research projects, and advising on methodology and academic writing Required selection criteria You must hold a relevant PhD in medicine, epidemiology, or a quantitatively oriented discipline such as