[CompNeuro] Call for Applications: Cajal Course in Computational Neuroscience (2024)

[Alfonso Renart]

*** Course dates: July 15th - August 4th, 2024 (Lisbon, Portugal) ***
*** Application deadline: February 19th 2024 ***

Please check our Course Details
<https://cajal-training.org/on-site/computational-neuroscience-2024/>
and Application
Form <https://form.jotform.com/240055127475352>.

Computational Neuroscience is a rapidly evolving field whose methods and
techniques are critical for understanding and modelling the brain, and also
for designing and interpreting experiments. Mathematical modelling is an
essential tool to cut through the vast complexity of neurobiological
systems and their many interacting elements.

This course teaches the central ideas, methods, and practices of modern
computational neuroscience through a combination of lectures and hands-on
project work. During the course’s mornings, distinguished international
faculty deliver lectures on topics across the entire breadth of
experimental and computational neuroscience. For the remainder of the time,
students work on research projects in teams of 2 to 3 people under close
supervision of expert tutors and faculty. Research projects are proposed by
faculty before the course, and include the modeling of neurons, neural
systems, and behavior, the analysis of state-of-the-art neural data
(behavioral data, multi-electrode recordings, calcium imaging data,
connectomics data, etc.), and the development of theories to explain
experimental observations.
Course Directors:

Julijana Gjorgjieva (Max Planck Institute for Brain Research, Germany)
Alfonso Renart (Champalimaud Research, Portugal)
Maria Geffen (University of Pennsylvania, USA)
Brent Doiron (University of Chicago, USA)

Confirmed Speakers:

Rafal Bogacz (Oxford, UK)
Alex Cayco-Gajic (Ecole Normale Superieure Paris, France)
Christine Constantinople (NYU, USA)
Brent Doiron (University of Chicago, USA)
Adrienne Fairhall (U Washington, USA)
Julijana Gjorgjieva (Max Planck Institute for Brain Research, Germany)
Ken Harris (UCL, UK)
Maria Geffen (University of Pennsylvania, USA)
Gilles Laurent (Max Planck Institute Frankfurt, Germany)
Ashok Litwin-Kumar (Columbia, USA)
Christian Machens (Champalimaud, Portugal)
Jakob Macke (University of Tubingen, Germany)
Srdjan Ostojic (Ecole Normale Superieure Paris, France)
Agostina Palmigiano (UCL, UK)
Joe Paton (Champalimaud, Portugal)
Alfonso Renart (Champalimaud Research, Portugal)
Cristina Savin (NYU, USA)
Nate Sawtell (Columbia, USA)
Tim Vogels (IST, Austria)

Course Content:

This course is designed for graduate students and postdoctoral fellows from
a variety of disciplines, including neuroscience, physics, electrical
engineering, computer science, mathematics and psychology. Students are
expected to have a keen interest and basic background in neurobiology, a
solid foundation in mathematics, as well as some computing experience. A
four-day pre-school in mathematics and programming is offered for students
that want to catch up on their math and programming skills.

A maximum of 24 students will be accepted. Students of any nationality can
apply. We specifically encourage applications from researchers who work in
the developing world. All students will be selected according to the normal
submission procedure. Applications will be assessed by a selection
committee, based on the following criteria: the scientific quality of the
candidate (CV), evidence that the course will afford substantial benefit to
the candidate (motivation letter), and the recommendation letters.

Please contact our course organizer:

Mette Kienhorst  ---  mette.kienhorst at research.fchampalimaud.org

if you have any questions.

Best,

Alfonso Renart

--

Champalimaud Centre for the Unknown
Av. Brasília s/n (Doca de Pedrouços)
1400-038 Lisboa, Portugal
Ph:     +351 210 480 101
email: alfonso.renart at neuro.fchampalimaud.org
web:   http://renartlab.org
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://nimap.feld.cvut.cz/pipermail/compneuro/attachments/20240126/14ca6ec7/attachment-0002.htm>