92 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Aarhus University
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
education within one or more of the following areas: education and democracy, education for sustainable development, school exclusion and vulnerability, special education and learning, professional formation
-
. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
-
applicant will be required to teach and supervise in Archaeology at BA and MA levels of the department’s degree programmes and will be expected to have some teaching experience at university level. We
-
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
-
central to our work and reflects our values of respect, trust, recognition, and professionalism. Learn more about the Department here and the Faculty of Health here . Your job responsibilities Your primary
-
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
-
aesthetic fields. The successful applicant will therefore be expected to engage with digital pedagogies and investigate how teaching and learning in culture, art and the creative disciplines can evolve to
-
. • 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
-
quality, including publication in top international journals and communicate your research in national and international academic networks Teach, supervise and examine BSc, MSc and PhD students as
-
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