224 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Denmark
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expected to take a leading role in the research program, supported by a Villum Investigator Grant, in which femtosecond and picosecond laser pulses are used to study molecules and molecular complexes
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biodiversity assessments and methodological development at Aarhus University. Your profile Applicants should hold a PhD in ecology, population or conservation genetics, evolutionary biology, bioinformatics, or a
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experience in developing software for processing SURE and ULM data Have a desire to advance the field and help PhD students learn We offer DTU is a leading technical university globally recognized
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
models of quantum programming languages. The ideal candidate holds (or is expected to soon hold) a PhD degree in computer science, mathematics, physics, or a more specialised degree in quantum computing
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gaining a PhD in a relevant discipline. Expertise and proven record of successful research in plant genetics and molecular biology. Previous experience in plant microbe interactions. Good communication and
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course per year. Your qualifications Applicants are expected to hold (or be close to completing) a PhD in political science, preferably with a focus on central-government relationships in Denmark since the
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for new research projects. Qualifications We are seeking a highly motivated candidate with the following qualifications: A PhD degree within biology, environmental chemistry, chemistry, or similar
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc is available within the general study program. The PhD stipend is open for appointment from 1st Feb 2026 or soon after
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Postdoc position to support international research and capacity-building projects employing elect...
. Publication of scientific results in international journals and presentation at conferences. Supervision and mentoring of MSc and PhD students. The successful applicant will also be required to support parallel
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, you will contribute to research-based teaching and the supervision of student projects. Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and