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DTSTAMP:20260715T225044Z
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DTSTART:20231106T090000Z
DTEND:20231106T170000Z
DESCRIPTION:**This course is free of charge. All those who have registered 
 before the Application Deadline will receive the information to connect th
 e day before the course starts.**\n\n\n# Overview\nThe aim of this course 
 is to familiarise the participants with the deep learning model and some o
 f its applications in life sciences. With the rise of new technologies\, t
 he volume of omics data in the fields of biology and medicine has grown ex
 ponentially in recent times and a major issue is to mine useful predictive
  knowledge from these data. Machine learning (ML) is a discipline in which
  computer algorithms perform automated learning by using data in order to 
 assist humans to deal with the large volume of multidimensional data\, and
  deep learning is one of these methods. Deep learning is based on artifici
 al neural networks inspired from the structure and function of the human b
 rain and has been widely applied in computer vision\, natural language pro
 cessing\, computational biology\, etc.\n\nThis course will be composed of 
 a half-day introduction to the theory of deep learning and how it is relat
 ed to machine learning and neural networks\, and a half-day minisymposium 
 consisting of short presentations by SIB researchers on the applications o
 f deep learning. The minisymposium will be followed by a panel discussion 
 between speakers and the audience\, allowing the opportunity to debate on 
 the advantages and pitfalls of these technologies for research projects. \
 n\n\n# Audience\nThis course is addressed to PhD students\, post-docs and 
 researchers in life sciences who would like to have a grasp of Deep Learni
 ng and how it can be applied to life sciences research.\n\n# Learning outc
 omes\nAt the end of the course\, the participants will be able to:\n* Disc
 uss the deep learning model\n* Identify deep learning parameters \n* Disti
 nguish applications of deep learning in life sciences\n\n# Prerequisites\n
 ##### Knowledge / competencies\nPrior knowledge of ML concepts and methods
  is required\, and familiarity with different omics data technologies is h
 ighly recommended.\n##### Technical\nNo technical prerequisites are requir
 ed.\n\n\n# Schedule - CET time zone\n9:00 - 12:30: Markus Müller and Van 
 Du Tran ([Vital-IT\, SIB](https://www.vital-it.ch)) - Introduction to the 
 theory of deep learning\n\n12:30 - 13:30 Lunch break\n\n13:30 - 17:00: Min
 isymposium \n\n* 13:30 - Raphaelle Luisier (IDIAP Research Institute &amp\
 ; SIB) - Decoding neurodegenerative disorders combining AI and high conten
 t imaging\n* 14:15 - Daniele Silvestro (UniFribourg &amp\; SIB) - Supervis
 ed and reinforcement learning to measure biodiversity and guide conservati
 on action \n* *15:00 - Coffee break*\n* 15:20 - Joana Pereira (BioZentrum 
 &amp\; SIB) - Leveraging the deep learning revolution to study the diversi
 ty of the catalogued protein universe\n* 16:05 - Markus A Lill  (Universit
 y of Basel and SIB) - Physics-guided deep learning for the prediction of p
 rotein-ligand interactions\n* 16:50 - 17:00: Questions and Answers\n\n\n# 
 Application\n\n\nThis course is free of charge. All those who have registe
 red before the Application Deadline will receive the information to connec
 t the day before the course starts.\n\nPlease note that participation in S
 IB courses is subject to [the following general conditions](https://www.si
 b.swiss/training/terms-and-conditions).\n\nYou will be informed by email o
 f your registration confirmation.\n\n# Venue and Time\nThis course will be
  streamed. \n\nThe course will start at 9:00 and end around 17:00. \n\nAll
  those who have registered before the Application Deadline will receive th
 e information to connect the day before the course starts.\n\n\n#  Additio
 nal information\nCoordination: Patricia Palagi\n\nYou are welcome to regis
 ter to the SIB courses mailing list to be informed of all future courses a
 nd workshops\, as well as all important deadlines using the form [here](ht
 tps://lists.sib.swiss/mailman/listinfo/courses).\n\nPlease note that parti
 cipation in SIB courses is subject to our [general conditions](https://www
 .sib.swiss/training/terms-and-conditions).\n\nSIB abides by the [ELIXIR Co
 de of Conduct](https://elixir-europe.org/events/code-of-conduct). Particip
 ants of SIB courses are also required to abide by the same code.\n\nFor mo
 re information\, please contact [training@sib.swiss](mailto://training@sib
 .swiss).
SUMMARY:Deep Learning for Life Sciences - fundamentals and applications
URL;VALUE=URI:https://www.sib.swiss/training/course/20231106_DLFLS
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