Forwarded from Complex Systems Studies
💰 Join us to do research in dynamical systems at VU Amsterdam: We have a 3-year #postdoc position open without many strings (or any existing projects) attached, so excellent candidates with their own ideas are wanted. Apply at https://t.co/u5Xr91qObU by Feb 1. Please share!
workingat.vu.nl
Postdoc in Dynamical Systems - >Working at VU
Location: AMSTERDAM FTE: 0.8 - 1 Job denoscription The Department of Mathematics of Vrije Universiteit Amsterdam welcomes applications for a three-year Postdoctoral position in Dynamical Systems, including (but not limited to) computational dynamics, data...
Forwarded from Complex Systems Studies
📯We are hiring!📯
4-year fully funded #PhD position in Sample-Efficient Probabilistic Machine Learning @UnivHelsinkiCS with links to @FCAI_fi
Please see blurb below, and full ad here: https://t.co/w7Y3Nhxn3w
Application deadline: Jan 10, 2021. Please RT! https://t.co/Nr5plMuJ2C
4-year fully funded #PhD position in Sample-Efficient Probabilistic Machine Learning @UnivHelsinkiCS with links to @FCAI_fi
Please see blurb below, and full ad here: https://t.co/w7Y3Nhxn3w
Application deadline: Jan 10, 2021. Please RT! https://t.co/Nr5plMuJ2C
Forwarded from Scientific Programming (ZiAEE (he/him))
#BrainPy is a lightweight framework based on the latest Just-In-Time (JIT) compilers. The goal of BrainPy is to provide a unified simulation and analysis framework for neuronal dynamics with the feature of high flexibility and efficiency.
https://brainpy.readthedocs.io/en/latest/
BrainPy-Models is based on BrainPy neuronal dynamics simulation framework. Here you can find neurons, synapses models and topological networks implemented with BrainPy.
https://brainpy-models.readthedocs.io/en/latest/
https://brainpy.readthedocs.io/en/latest/
BrainPy-Models is based on BrainPy neuronal dynamics simulation framework. Here you can find neurons, synapses models and topological networks implemented with BrainPy.
https://brainpy-models.readthedocs.io/en/latest/
https://www.inscribercproject.com/workshop//workshop_home.php
Production of Images and Language Notation is the first INSCRIBE Workshop. It will be a four-session event, spread across four consecutive days (12 - 15 January 2021) on Zoom. The Workshop will be open to everyone who is interested, free of charge.
To access the Workshop, you will need to REGISTER HERE.
Registering once will enable you to access any of the 4 sessions.
Session 1 - 12 January 2021 - Is Iconography a Springboard for Writing?
Session 2 - 13 January 2021 - The Dawn of Writing
Session 3 - 14 January 2021 - More Recent Inventions
Session 4 - 15 January 2021 - Iconic vs non-Iconic Signs
Production of Images and Language Notation is the first INSCRIBE Workshop. It will be a four-session event, spread across four consecutive days (12 - 15 January 2021) on Zoom. The Workshop will be open to everyone who is interested, free of charge.
To access the Workshop, you will need to REGISTER HERE.
Registering once will enable you to access any of the 4 sessions.
Session 1 - 12 January 2021 - Is Iconography a Springboard for Writing?
Session 2 - 13 January 2021 - The Dawn of Writing
Session 3 - 14 January 2021 - More Recent Inventions
Session 4 - 15 January 2021 - Iconic vs non-Iconic Signs
Steps to organizing your manunoscript
Prepare the figures and tables:
1- Write the Methods.
2- Write up the Results.
3- Write the Discussion. 4- Finalize the Results and Discussion before writing the introduction. This is because, if the discussion is insufficient, how can you objectively demonstrate the scientific significance of your work in the introduction?
5- Write a clear Conclusion.
6- Write a compelling introduction.
7- Write the Abstract.
8- Compose a concise and denoscriptive Title.
9- Select Keywords for indexing.
10- Write the Acknowledgements.
11- Write up the References.
[ Source ]
Prepare the figures and tables:
1- Write the Methods.
2- Write up the Results.
3- Write the Discussion. 4- Finalize the Results and Discussion before writing the introduction. This is because, if the discussion is insufficient, how can you objectively demonstrate the scientific significance of your work in the introduction?
5- Write a clear Conclusion.
6- Write a compelling introduction.
7- Write the Abstract.
8- Compose a concise and denoscriptive Title.
9- Select Keywords for indexing.
10- Write the Acknowledgements.
11- Write up the References.
[ Source ]
www.elsevier.com
11 steps to structuring a science paper editors will take seriously
Read the advice of a researcher sharing his tips on how to write a scientific paper. This does not represent Elsevier’s policy.
Forwarded from Complex Systems Studies
💰 New #postdoc position to develop novel models of large-scale brain dynamics, and use these to uncover brain activity causing OCD
https://t.co/TxtwlHYVyt
https://t.co/TxtwlHYVyt
Forwarded from Turing
Temporally distinct myeloid cell responses mediate damage and repair after cerebrovascular injury
http://feeds.nature.com/~r/neuro/rss/current/~3/QtFjK6EXgN4/s41593-020-00773-6
Nature Neuroscience, Published online: 18 January 2021; doi:10.1038/s41593-020-00773-6 (https://www.nature.com/articles/s41593-020-00773-6)This study shows how different myeloid cell types contribute to damage and repair following cerebrovascular injury, a pathology common to many central nervous system disorders, and offers new therapeutic opportunities to improve clinical outcomes.
http://feeds.nature.com/~r/neuro/rss/current/~3/QtFjK6EXgN4/s41593-020-00773-6
Nature Neuroscience, Published online: 18 January 2021; doi:10.1038/s41593-020-00773-6 (https://www.nature.com/articles/s41593-020-00773-6)This study shows how different myeloid cell types contribute to damage and repair following cerebrovascular injury, a pathology common to many central nervous system disorders, and offers new therapeutic opportunities to improve clinical outcomes.
PhD position "Whole brain dynamics underlying flexible decision making
in rodent" at Donders Centre for Neuroscience at Radboud University, the
Netherlands
We are looking for A PhD candidate for a collaborative project in the
groups of Liya Ma and Paul Tiesinga at the Donders Institute utilizing
approaches from both experimental and computational neuroscience. You
will study Reinforcement Learning (RL) processes in animal models using
experimental and computational approaches. The experiments will
establish a mathematical model for RL behaviour in mice, identify neural
correlates for value-related parameters in the model using in vivo
high-density electrophysiology, manipulate the neural correlates, and
measure corresponding changes in RL-guided behaviour. The overall aim of
the project is to investigate the neural mechanism by which value
signals guide decision making. This will inform state-of-the-art deep
learning approaches and shed light on novel interventions for
psychiatric diseases. Guided and supported by our supervisory team, you
will design and perform experiments in mice, analyse data, conduct
computational modelling, and prepare manunoscripts. You will also have the
opportunity to write grants, peer-review journal articles, and
contribute to teaching and event organization.
We ask
* A dedicated, reliable, detail-oriented, and well-organised team
player.
* Experience in animal behaviour preferred.
* Experience in electrophysiology preferred.
* Experience with MATLAB or Python preferred.
* Good communication and writing skills in English.
Please apply via the link in
https://www.academictransfer.com/nl/296962/phd-candidate-in-neuroinformatics/
before February 12th to receive full consideration.
Best regards,
Paul Tiesinga
in rodent" at Donders Centre for Neuroscience at Radboud University, the
Netherlands
We are looking for A PhD candidate for a collaborative project in the
groups of Liya Ma and Paul Tiesinga at the Donders Institute utilizing
approaches from both experimental and computational neuroscience. You
will study Reinforcement Learning (RL) processes in animal models using
experimental and computational approaches. The experiments will
establish a mathematical model for RL behaviour in mice, identify neural
correlates for value-related parameters in the model using in vivo
high-density electrophysiology, manipulate the neural correlates, and
measure corresponding changes in RL-guided behaviour. The overall aim of
the project is to investigate the neural mechanism by which value
signals guide decision making. This will inform state-of-the-art deep
learning approaches and shed light on novel interventions for
psychiatric diseases. Guided and supported by our supervisory team, you
will design and perform experiments in mice, analyse data, conduct
computational modelling, and prepare manunoscripts. You will also have the
opportunity to write grants, peer-review journal articles, and
contribute to teaching and event organization.
We ask
* A dedicated, reliable, detail-oriented, and well-organised team
player.
* Experience in animal behaviour preferred.
* Experience in electrophysiology preferred.
* Experience with MATLAB or Python preferred.
* Good communication and writing skills in English.
Please apply via the link in
https://www.academictransfer.com/nl/296962/phd-candidate-in-neuroinformatics/
before February 12th to receive full consideration.
Best regards,
Paul Tiesinga
AcademicTransfer
PhD Candidate in Neuroinformatics
A PhD candidate for a project which provides a great opportunity to gain expertise in both experimental and computational neuroscience. You will study Reinforcement Learning (RL) processes in animal models using experimental and computational...