Post-doc in Biophysics & Image Analysis for ERC funded project

Post-doc in Biophysics & Image Analysis for ERC funded project

What we are looking for
Applications are welcome from early-career scientists with outstanding track records in the fields of image analysis, microbiology, biophysics. Selection of applicants starts immediately.

Job / Project Description
In an ERC funded project, the Kiers group (Evolutionary Biology, VU University) and the Shimizu group (Systems Biophysics, AMOLF) are accepting applications for a post-doc with exceptional skills in image analysis, microscopy, and/or modeling of transport processes in microbes.

Our aim is to track and analyze the dynamics of nutrient transport inside complex fungal networks in symbiosis with host plants. These fungi offer a unique opportunity to study complex flow patterns (bi-directional flow within random-graph networks) in a research context firmly embedded within an important biological question. Specifically, we are interested in the factors organizing fluid flow across fungal filament networks, and how information and resources are shared across these integrated networks.

The successful post-doc will further develop our automated imaging system to measure velocities, flow dynamics, and oscillatory patterns of nutrients within hyphal networks. This will allow us to better understand the evolution of microbial trade strategies.

Cross-discipline collaboration
We offer a unique opportunity for a post-doc to contribute to cutting-edge research into the evolution of symbioses by working at the intersection of Evolutionary Biology and Biophysics. Housed primarily at the AMOLF Systems Biology Lab with Professor Shimizu, the successful candidate will develop a suit of tools to understand what drives oscillatory dynamics across fungal networks. Ultimately, we are interested in understanding whether plant hosts can influence how fungal symbionts distribute and trade their nutrients.

Requirements
• Candidates should hold a Ph.D., with a strong background in image analysis, experimental physics and/or biophysics
• Outstanding publication record
• Excellent ability to communicate in both written and spoken English
• Ability to start within 2 months

Particular preference will be given to candidates with prior experience with image analysis, microbiology and/or modeling fluid dynamics.

Further particulars
VU University Amsterdam is one of the leading institutions for higher education in Europe and aims to be inspiring, innovative, and committed to societal welfare. It comprises twelve faculties and has teaching facilities for 25,000 students.

AMOLF is one of the top research laboratories of the Netherlands Organisation for Scientific Research Institutes (NWO-I), specializing in the physics of complex matter.

The appointment will be for a period of 1.5 years, with potential grant opportunities to follow.

Salary
Payment will be according to the standard regulations, from € 2,427 up to € 3,831 gross per month (salary scale 10) depending on experience and based on a full-time employment.

Application
Applicants are requested to write a letter in which they describe their abilities and motivation, accompanied by a curriculum vitae. Please include the names of two references, including emails, phone numbers and their relationship to you. Please send application in a single pdf-file only.

Applications should be sent to: toby.kiers@vu.nl

Information
For additional information please contact: Prof. Dr. Toby Kiers
phone number +31 (0)20 5987074 e-mail: toby.kiers@.vu.nl
website: www.tobykiers.com

Science Program Manager

Science Program Manager, Imaging

Chan Zuckerberg Initiative, Palo Alto, USA

 

THE ROLE

In this role, you will play a leadership role in supporting the development of new tools and facilitating collaborations in the imaging and microscopy community, especially in the areas of image analysis and visualization for cell biology. Our support of this ecosystem will likely take many forms, including grantmaking to biologists and computational scientists and developing open-source tools among the science community and CZI computational biologists and software engineers.

The ideal candidate will have deep, hands-on expertise in quantitative microscopy, and at least some familiarity with the current open-source imaging software ecosystem (e.g. ImageJ, FIJI. CellProfiler, etc.) and core technologies (Python, TensorFlow, WebGL). Key qualities are (1) an understanding of how biologists want to work with imaging data; (2) a passion for community engagement and open-source development; and (3) strong interpersonal skills and ability to build and work across a diversity of expertise.

### RESPONSIBILITIES
Work closely with Science Program Officers, Computational Biologists, and Technology Staff to help define and lead programs in imaging and microscopy and represent them to the outside community
Collaborate with biologists, imaging scientists, and open-source software developers to help conceive and develop analysis and visualization tools for biological imaging data
Drive internal and external community engagement, including planning and running hackathons and meetings, and engage in outreach to ensure connections to users, standards groups, and existing open-source communities
Support the grantmaking process for current and future programs, including selection, review, process, and relationship management
Identify and engage with existing open-source communities, and help build consensus around standards and methods

### QUALIFICATIONS
PhD degree or equivalent experience in quantitative microscopy or similar field
3+ years of experience analyzing microscopy image data, including the use of common open-source tools (e.g. ImageJ, FIJI, CellProfiler) and at least one modern software analysis or visualization ecosystem (e.g. Python, TensorFlow, WebGL, etc.)
3+ years of experience in physical or virtual community-building activities, including hackathon planning, workshop or conference organization, hosting tutorials, etc.
3+ years working in or helping coordinate open-source software communities

https://boards.greenhouse.io/chanzuckerberginitiative/jobs/1211984?gh_jid=1211984

 

Image Analysis Specialist

Image Analysis Specialist

 

The Novo Nordisk Foundation Centers for Stem Cell Biology (DanStem) and Protein Research (CPR) at the University of Copenhagen are jointly seeking applications for the position of Image Analysis Specialist

The Novo Nordisk Foundation Center for Stem Cell Biology (DanStem) addresses basic research questions in stem cell and developmental biology and has activities focused on the translation of promising basic research results into new strategies and targets for the development of new therapies for cancer and chronic diseases such as diabetes and liver failure. Learn more about DanStem at http://danstem.ku.dk/.

The Novo Nordisk Foundation Center for Protein Research (CPR) promotes basic and applied research on proteins of medical relevance. The research scope spans in silico biology, proteomics, biochemistry and cell biology, and the unifying theme is the identification and functional exploration of proteins and protein pathways involved in disease mechanisms. Learn more about CPR at www.cpr.ku.dk.

Advanced light microscopy is a key technology for a wide variety of research areas at DanStem and CPR. The Centers offer research platforms in imaging and image analysis to support the continually evolving need for microscopy-based applications and to enhance synergy and scientific productivity. We are now seeking a highly motivated and qualified quantitative image analysis specialist to work within the Imaging Research Platform at DanStem and the Protein Imaging Facility within CPR, alongside the light microscopy specialist at both platforms.

For more information on the position and application instructions please see full open position announcement: https://employment.ku.dk/staff/?show=147352

The closing date for applications is July 16, 2018 at 23.59 pm