329 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Denmark
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management of Science Bridge’s budget and resources, as well as for monitoring, learning, and reporting on activities and outcomes. Contribute to the overall development of the Faculty of Natural Sciences and
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assistance and career counselling for accompanying partners. English is the primary language used for internal communication and teaching, and international candidates are not required to learn Danish. Aarhus
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learning for imaging tasks Prior work with histology–imaging registration or material decomposition Clinical research exposure As a person, you have good interpersonal skills, are inclusive and team-oriented
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be prepared to teach in the BA and MA programmes, primarily in Theology, but also in Religious Studies. This includes undergraduate courses in Practical Theology and Contemporary Christianity and MA
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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
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will also be expected to teach and supervise students in courses and projects on BSc and MSc level as well as taking relevant courses appropriate for the graduate level at DTU. You must have a two-year
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for a curious and engaged colleague with a genuine interest in the research topic. You enjoy working analytically with quantitative data, approaching research questions thoughtfully, and learning new
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, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees
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Tenure-track Assistant/Associate Professor/Professor in Ecophysiology and Ecology Department of B...
. Obtain competitive research funding from external funding bodies. Contribute positively to the department’s strategy and social working. Be able to communicate and teach in Danish within four years after
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preparation for mass spectrometry analysis in the laboratory Learning of data analysis methods and code to understand mass spectrometry data Present your data at lab meetings and (inter-)national meetings