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DTSTAMP:20260628T015439Z
UID:8440e1e3-5205-4131-b0a3-7e9c3733e131
DTSTART:20240422T130000Z
DTEND:20240425T110000Z
DESCRIPTION:The D3 Spring School welcomes early-stage researchers to join a
 n interdisciplinary spring school at the intersection of machine learning 
 and nutritional science. It focuses on harnessing the power of data-driven
  approaches to unravel the complex relationships between diet\, health\, a
 nd disease. With recent technological advancements\, the program aims to e
 quip junior researchers with specialized computational methods\, particula
 rly machine learning algorithms\, to extract valuable insights from copiou
 s amounts of data generated by modern omics technologies and lifestyle mon
 itoring tools. By fostering collaboration among participants from data sci
 ence\, nutritional science\, and related life sciences\, the school encour
 ages hands-on training in ML methods and the exploration of their applicat
 ions in nutrition research. Over four days\, the program features keynote 
 talks from renowned international experts and tutorial and coding sessions
  led by ML specialists. The serene and secluded environment of the Seminar
 hof Drawehn provides an ideal setting for networking and developing innova
 tive research ideas and collaborations.
LOCATION:Im Alten Rundling 13\, 13 Im Alten Rundling
SUMMARY:D3 Spring School: "Data-Driven Deliciousness: The Intersection of M
 achine Learning and Nutrition"
URL;VALUE=URI:https://www.nutrition-ml-school.org/
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