A basic intro to stats for neuroscientists and all course materials are open here
Jupyter notebook slides & RISE with code to play around with to build an intuition for stats...

#neuroscience
#course

Two open #PhD positions at EPFL:
❗️#PhD student position in computational neuroscience and modelling of salamander locomotor circuits
❗️#PhD student position in biorobotics and fluid dynamics

https://www.epfl.ch/labs/biorob/openings/

Andrew NG’s course on Coursera
https://colah.github.io/
https://distill.pub/

We have this awesome function called sublots_mosaic where you can pass us a layout id'ed on name
axd = plt.subplot_mosaic(
"""
ABD
CCD
""")

Link

#matplotlib
#python

Connected Papers | Find and explore academic papers
A unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work.

[ Link ]

Follow: @theTuringMachine

PhD Student position at the BCBL- Basque Center on Cognition Brain and Language (San Sebastián, Basque Country, Spain) www.bcbl.eu

• Position: PhD student
• Researcher Profile: First Stage Researcher (R1- up to the point of PhD)
• Number of vacancies: 1
• Project: Spanish Ministry of Economy and Competitiveness through the Plan Nacional RTI2018 093547 B I00 (LANGCONN)
• Location:  Spain > Donostia-San Sebastian
• Research Field: Neuroscience > Cognition and Language
• Type of contract/Duration of Contract : Temporary >  4 years
• Job Status: Full-time
• Hours per week: 35
• Starting date: 01/07/2021 (flexible)
• Application deadline: 31/05/2021
• Information about the project: The Basque Center on Cognition Brain and Language – BCBL- (Donostia-San Sebastián, Basque Country, Spain)

#positions

Follow: @theTuringMachine

NMA-Computational Neuroscience: July 5-23, 2021
Content: https://github.com/NeuromatchAcademy/course-content
• NMA-Deep Learning: Aug 2-20, 2021
Content: https://github.com/NeuromatchAcademy/course-content-dl

Applications for interactive students and teaching assistants (paid positions) are due May 7th 2021. Application Portal: https://portal.neuromatchacademy.org/

#Neuromatch

Machine learning in Python with scikit-learn

Ref. 41026
Duration: 8 weeks
Effort: 35 hours
Pace: ~4h15/week

Build predictive models with scikit-learn and gain a practical understanding of the strengths and limitations of machine learning!

#ML
#scikit_learn
#course

💰Doctoral student in Computational Neuroscience
#phd in School of Electrical Engineering and Computer Science at KTH

https://facultyvacancies.com/doctoral-position-in-computational-neuroscience,i19433.html

Neuromodulators are crucial for the brain function and while the effect of neuromodulation is relatively well studied, little is known about how neuromodulators affect the network activity dynamics. In this project we want to quantify the effects of neuromodulators on neuron/synapse properties and network structure and dynamics.

The doctoral student will be part of Dr. Kumar's research group. The research group uses computational and analytical methods to understand the dynamics and information processing in biological neuronal networks. The research in the Kumar lab is aimed at understading:

The role of oscillations and correlations in communication between different brain areas [e.g. see Hahn et al. Nature Rev. Neurosci. 2019]
Control of brain activity dynamics [e.g. see Vlachos et al. PloS Comp Bio 2016]
Interaction between neuron properties and network activity dynamics [Sahasranamam et al. Sci. Reports 2015, Spreizer et al. PloS Comp Bio 2010, Hahn et al. 2020]
Neural coding [e.g. Tauffer and Kumar 2020].

The research group is also developing mathematical models of brain diseases to understand the mechanisms underlying the emergence of disease related aberrant activity dynamics in brain diseases. More info.: https://www.kth.se/profile/arvindku/

Supervision: The doctoral student will be supervised by: Dr. Arvind Kumar