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PRODID:-//Danish BioImaging Network - ECPv4.9.1.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.danishbioimaging.dk
X-WR-CALDESC:Events for Danish BioImaging Network
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190715
DTEND;VALUE=DATE:20190727
DTSTAMP:20260716T120555
CREATED:20190307T080755Z
LAST-MODIFIED:20190307T080900Z
UID:3090-1563148800-1564185599@www.danishbioimaging.dk
SUMMARY:2019 EMBL Lautenschläger Summer School
DESCRIPTION:The summer program\, Visualising Life\, introduces students to the dynamic interdisciplinary world of current biology research. Modern life science has benefitted tremendously from new technologies and concepts in physics\, engineering and mathematics\, while computer science has changed the way we can analyze and exploit data for new insights. \nAre you eager to engage in these ideas and help shape the future of biology? Join us for exciting 2-week course at one of the leading biology research institutions in Europe. \nCourse aim: \nThe program’s aim is to provide insightful and hands-on experience in current biology methods\, such as building a high-speed microscope to image developing organisms\, and using machine learning to extract insightful data from the resulting complex images. EMBL group leaders and PhD students will lead theoretical lectures\, complemented by experimental practicals and stimulating discussion rounds. In addition\, the program offers a myriad of social activities that foster a collaborative spirit\, which is a hallmark of research at EMBL. \nTarget group: \nOur program targets advanced Bachelor and Master students from Physics\, Engineering\, Mathematics and Computer Science searching for a graduate-level program (e.g. Master or PhD). Students should have a strong interest to work in a highly interdisciplinary environment and must be fluent in English. Previous knowledge of biology is beneficial\, but not required. \n
URL:https://www.danishbioimaging.dk/event/2019-embl-lautenschlager-summer-school/
LOCATION:Submit event
CATEGORIES:Courses
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