Job ID:
Job date: 2015-01-16
End Date:
Company : Chalmers University of Technology Country : Role : Postdoc
Job date: 2015-01-16
End Date:
Company : Chalmers University of Technology Country : Role : Postdoc
Job Description:
Background
As life expectancy is increasing there is a strong need to ensure a healthy old age. Ageing is by far the biggest risk factor for a wide range of prevalent clinical conditions such as Alzheimer’s, Parkinson’s and Huntington’s. Given that ageing, as many age-related diseases are driven by accumulated damage (known as aggregates), finding the way for repairing and removing age-related cellular aggregates is crucial for preventing, curing and treating age-associated diseases. In the new era of biology and medicine, mathematical modeling of complex biological phenomena and diseases has become a fundamental approach for combining, interpreting, and analyzing the vast amount of accumulating data gathered in biological investigations. Obtaining a detailed mechanistic understanding through mathematical modeling of damage driven processes will have major implications in the study of aging at a cellular level and will facilitate experimental approaches.
Job assignments
We are now seeking a driven, creative and highly motivated PhD student that will contribute to on-going efforts in the lab to develop a novel modeling framework to describe protein dynamics on the single cell and whole population level and assess the role of inheritance mechanisms in rejuvenating cells. The position is interdisciplinary and combines mathematics and computer science with application in biology and medicine. The doctoral student will work in a highly collaborative and international research environment and is expected to develop independent ideas, and to communicate research results in oral and written form.
Qualifications:
The successful applicant for this position should have M.Sc. degree in mathematics, mathematical statistics, physics, systems biology, biotechnology or equivalent. Prior experience in computational biology research is desirable.
Additional Info:
[Click Here to Access the Original Job Post]
Background
As life expectancy is increasing there is a strong need to ensure a healthy old age. Ageing is by far the biggest risk factor for a wide range of prevalent clinical conditions such as Alzheimer’s, Parkinson’s and Huntington’s. Given that ageing, as many age-related diseases are driven by accumulated damage (known as aggregates), finding the way for repairing and removing age-related cellular aggregates is crucial for preventing, curing and treating age-associated diseases. In the new era of biology and medicine, mathematical modeling of complex biological phenomena and diseases has become a fundamental approach for combining, interpreting, and analyzing the vast amount of accumulating data gathered in biological investigations. Obtaining a detailed mechanistic understanding through mathematical modeling of damage driven processes will have major implications in the study of aging at a cellular level and will facilitate experimental approaches.
Job assignments
We are now seeking a driven, creative and highly motivated PhD student that will contribute to on-going efforts in the lab to develop a novel modeling framework to describe protein dynamics on the single cell and whole population level and assess the role of inheritance mechanisms in rejuvenating cells. The position is interdisciplinary and combines mathematics and computer science with application in biology and medicine. The doctoral student will work in a highly collaborative and international research environment and is expected to develop independent ideas, and to communicate research results in oral and written form.
Qualifications:
The successful applicant for this position should have M.Sc. degree in mathematics, mathematical statistics, physics, systems biology, biotechnology or equivalent. Prior experience in computational biology research is desirable.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]