NEWS
There are some basic reasons why it may be difficult to receive funding for your project proposal:
- Your proposal is not aligned with the policy and aims of the funder
- Your proposal is not clearly defining the aim, relevance and benefits of the proposed project
- Your proposal is not effectively presented and advertised – sold
- Your proposal is incomplete
Our training in proposal writing will provide you with information and examples to give you a good overview about parameters needed to be considered and to prevent the typical mistakes that applicants can do. Our training will provide you with information about structure, content, dos and don'ts, evaluation procedures, timelines etc.
Our next dates for training in proposal writing are open for registration.
2020 was a very challenging year for all of us.
The more we would like to say thank you for the trust you have placed in us and in our work.
The team of SB Science Management joins in saying “thank you” for our fruitful cooperation during the past year, we wish you a very Merry Christmas and look forward to continuing our joint success in the New Year.
May beautiful moments and merry memories surround you with joy this Christmas.
The more we would like to say thank you for the trust you have placed in us and in our work.
The team of SB Science Management joins in saying “thank you” for our fruitful cooperation during the past year, we wish you a very Merry Christmas and look forward to continuing our joint success in the New Year.
May beautiful moments and merry memories surround you with joy this Christmas.
We are happy about the new publications raised by our work
- Hollmann S, Kremer A, Baebler Š et al. The need for standardisation in life science research - an approach to excellence and trust. [version 1; peer review: awaiting peer review]. F1000Research 2020, 9:1398 (https://doi.org/10.12688/f1000research.27500.1)
- Hollmann S, Frohme M, Endrullat C, Kremer A, D’Elia D, et al. (2020) Ten simple rules on how to write a standard operating procedure. PLOS Computational Biology 16(9): e1008095. https://doi.org/10.1371/journal.pcbi.1008095
