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to biological data. PREFERRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Computer Science, or a related field Experience applying deep learning or foundation-model approaches to sequence-based
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of the supervisors listed below. Applicants are supposed to be at the beginning of the process and not actively enrolled in the Dr. phil. program at the Academy of Fine Arts Vienna. The dissertation must meet
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or computer science. In case of extension of employment for the assistant professor’s position: the scientific activity after obtaining the PhD degree, indicating the perspectives for obtaining habilitation. Activity
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of fulfilling the above during the selection process. Requirements for a declared position: University education in a field relevant to public health, or equivalent education obtained abroad; Academic degree PhD
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, potentially negatively impacting user efficiency. Thesis Objectives The objective of this PhD is to investigate how transitions between the physical referent (PR) and the digital replica (DR) of a Digital Twin
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(R1) Recognised Researcher (R2) Positions PhD Positions Application Deadline 1 Jun 2026 - 12:00 (Europe/Copenhagen) Country Denmark Type of Contract Permanent Job Status Full-time Offer Starting Date 1
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which you would enhance the educational experience of students and further the College's educational goals . The Physics Department (https://www.hamilton.edu/academics/departments/physics ) has eight
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Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in July 2026. Faculty members
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application at https://careers.software.imdea.org/ . Choose option PhD Student and use reference code 2026-01-phd-ossec. The recruitment process follows IMDEA Software Institute’s OTM-R Policy (Open
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investigators with a strong international track record in rheumatology research. The central and faculty PhD program at UGent provides structured doctoral training, including specialized courses, transferable