| Date & time | Jun 22 '21, 03:00PM |
| Ends on | Jul 21 '21, 11:30PM |
| Location | Cambridge, MA |
| Creator | lilgardt |
| Category | call |

Open Date
22/06/2021, 15:10
Close Date
21/07/2021, 23:55
The MRC Laboratory of Molecular Biology (LMB) is one of the birthplaces of modern molecular biology and has played an important role in the development of many new techniques, most notably protein crystallography, cryo-electron microscopy, DNA sequencing and monoclonal antibodies. The LMB has a clear goal of understanding biological processes at the molecular level, with the ultimate aim of using this knowledge to tackle specific problems in human health and disease. We aim to tackle difficult, long-term problems, which often require investment over many years.
There are four scientific Divisions - Structural Studies, Protein and Nucleic Acid Chemistry, Cell Biology and Neurobiology. However, scientific collaboration between the different Divisions is extensive. Scientists are well supported by excellent scientific facilities and by the LMB Operations Group which maintains the core infrastructure and services of the institute.
The LMB provides an unsurpassed environment for both new and established researchers. Scientists are drawn to the LMB from all over the world, thus creating a lively and international community for the exchange of ideas and technical innovation.
UK Research and Innovation is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, more information can be found at www.ukri.orgLocation
Cambridge
Salary
£32,302 to £35,143 per annum
Full Time / Part Time
Full Time
Overall purpose:
To work within the group of Dr Albert Cardona at the MRC Laboratory of Molecular Biology (LMB), within a programme aimed at studying the neural circuit architecture of whole brains. Specifically, to undertake research to investigate rules derived from neuronal arbour and synaptic morphologies towards estimating synaptic strengths from nanometre-resolution morphologies.
Main duties:
• To
undertake research aimed at analysing neuronal wiring diagrams, or
connectomes, in particular to derive general principles for normalizing
synaptic connections among neurons of different dimensions and
morphologies.
• To identify, develop and apply a broad range of techniques to pursue the research objectives.
• To present scientific work at seminars within the laboratory and at external meetings.
• To contribute to laboratory-wide discussions on developments within the field.
• To draft scientific papers, and contribute to the overall preparation of research for publication.
•
To contribute to the LMB’s mission in the public engagement of
science, and the translation of research findings into improvements in
health care.
• To assist in the training of PhD Students and other members of the LMB.
Key responsibilities:
Within the overall direction of the programme, the group, the remit of the project and in discussion with the Group Leader, you will make a significant input into determining the direction of the project within a 2-year lifespan.
To plan your own work and objectives on a 12-month basis and manage your experimental work within the project along with your Supervisor.
To work with limited supervision to identify, develop, modify and apply the necessary techniques to achieve the goals of the project.
To introduce and apply new techniques across a wide range of disciplines and to have the creativity and initiative to develop novel approaches and methods where required.
To ensure the research is carried out in accordance with good practice and in compliance with local policies and legal requirements.
To contribute to the smooth running of the group, including the effective use of resources, training of others and taking responsibility for use of communal facilities.
To enhance your research and generic skills through a tailored development programme.
Working relationships:
You will report to Dr Albert Cardona and will interact and collaborate with other Postdoctoral Scientists, Research Support staff and students, not only in your group, but also across the LMB and with external groups as necessary.
Additional information:
This
is a 2-year training and development position for a Postdoctoral
Scientist who has recently completed their doctoral studies, is moving
into a new research discipline or has limited experience of key
transferable skills. We support Postdoctoral Scientists with a range of
formal and on-the-job training, including:
• MRC training courses.
• External training and personal development courses.
• One-to-one training with your Supervisor and other Scientists.
You will commit to undertaking the following:
• Developing and following a personal development plan.
• Attending training courses.
• Identifying additional training which will support you to develop your career.
The above lists are not exhaustive and you are required to undertake such duties as may reasonably be requested within the scope of the post. All employees are required to act professionally, co-operatively and flexibly in line with the requirements of the post and the MRC.
Person SpecificationAcademic qualifications:
Essential
These
should include a PhD in a relevant subject or due to complete PhD
within 6 months, with a mixture of theoretical and experimental Biology.
Desirable
Undergraduate in math, physics, computer science or a closely related field.
Technical skills and expertise:
Experience of and ability to perform techniques relevant to the project. Particularly useful would be:
1.
Experience in the theoretical modelling of biological structures and
processes on the basis of data and towards the formulation of specific
questions that can then be tested experimentally in the lab, ideally by
the same individual and also in close collaboration with current lab
members;
2. Superb skills in mathematics and theoretical modelling;
3. First-hand experience with laboratory data acquisition, particularly in microscopy;
4. Demonstrable software engineering skills preferentially with the python programming language and its libraries for statistics and machine learning;
5. Expertise in Matlab and its packages for differential equations;
6. Expertise in computing with GPUs and computer clusters for processing large data sets or running resource-intensive simulations.
Track record of research:
This will include achievements, and contributions to published papers.
Other relevant evidence of:
• Commitment.
• Originality.
• Ability to communicate.
• Working with others.
The Wall