45 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"https:"-"CSIC" positions at Nature Careers in Austria
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on a topic relevant to the department, such as fertility and family, mortality and health, migration, or population analysis and human capital. The candidate should present a clear personal work plan for
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skills / experience in e-learning Strong IT user skills, including MS Office and other programs e.g. photoshop High-resolution confocal imaging experience Basic programming skills Excellent knowledge
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Experience in programming experiments Excellent proficiency in English What we offer a dynamic research environment a wide range of research and teaching support services attractive working conditions in a
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will have to coordinate his/her activities in teaching and research with the existing professorial positions of both institutions. Active cooperation in teaching within the bachelor and master programs
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spintronics are highly desirable. Demonstrate strong programming and experimental research skills. Excellent knowledge of English. Advanced knowledge of German is an advantage. Team player and high social
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sciences, or related disciplines Strong programming skills (preferably Python and C/C++) Expertise in bioinformatics of noncoding RNA Proven ability to publish in leading international journals Excellent
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teach seminars supporting students with their Bachelor’s thesis as well as various (including research-led) seminars within the Master’s programme (e.g. seminars supporting students to develop a thesis
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within the Master’s programme (e.g. seminars supporting students to develop a thesis proposal). You will take on administrative tasks, particularly in the administration of teaching. We expect you to keep
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well as evaluation procedures. This is part of your personality: You must have: A completed doctoral/PhD degree in astronomy/astrophysics A proven track record in scientific programming in software development teams
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, statistical software, biostatistical software) Understanding of bioacoustic principles Desirable knowledge: programming skills (preferably python or R), knowledge of machine- and deep learning, bioacoustic