education Archive


Some advice from an ex-PhD student in Sciences to present and future ones

Dr Pauline Fritsch is a blog writer who got her PhD in Neurobiology at the University of Fribourg in 2017.
Her aim is “to discuss about what helped her during her PhD studies in the hope that it can help other students and maybe inspire universities in what to do to help their students”.


The author is writing about the PhD students’ #mental health and about #soft skills (transferable skills) as according to her, these two subjects are partly overlapping.

To know more about the author of this blog, have a look at the About page.


Feb 6-10, 2012: Doctoral program StarOmics/SIB course “Advanced statistics: Statistical modeling”

Dear all,

We are pleased to announce a new SIB course:

“Advanced statistics: Statistical modeling”

which will take place during the week of 6-10 February 2012.

This course will be centered on “statistical modeling” applied to biological problems, and we plan to discuss the following topics: advanced linear models, mixed models, generalized linear models, classification, and a short introduction to Bayesian statistics. The emphasis will be put on concrete applications in biology.

It is assumed that participants will have a level equivalent to the course “Introduction to statistics for biologists” that was organized in January 2011 in Geneva (, and this course will build up on the content of the introductory course. In particular, prior knowledge of the “R” language and environment for statistical computing and graphics is required.

Registration is now open (see also:

The list of all SIB courses is available from the SIB website at:

For the organizers,

Frédéric Schütz

courses mailing list


StarOmics doctoral program for PhD students: 2012 program online

StarOmics, a doctoral program dedicated to train biologists in the analysis of large-scale biological data, is happy to invite you to visit the website as the program 2012 is now online!

Next generation biologists will face challenges in their everyday tasks both in terms of integrating quantitative aspects and reasoning using the novel strategies of the modern biology.

The StarOmics (or *omics) doctoral program ( intends to create a network of PhD students and professionals involved in any project related to Genomics, Transcriptomics, Proteomics, Metabolomics, Connectomics, and all other large scale data-generating technologies.

Students of this program will be offered training, workshops, and seminars in genome-wide and proteome-wide data analysis, biological modeling, quantitative image analysis, programming and statistics, in addition to their thorough education in experimental biology, through a didactic program that complements both their individual research topic and background. In addition several events will be organized (annual retreat, mini-symposia, soft skills courses), which besides their didactic value will also favor networking among the students and professors either within this program or jointly with the federation of doctoral programs of the CUSO (Ecology & Evolution, Plant Sciences, and Microbiology).

PhD students of this program will become conversant in both experimental and computational approaches, and will acquire the ability to integrate quantitative and experimental methods in their own research. Graduates from this program will have unprecedented scientific competence to permit them to become future leaders in biological research and beyond.

The students will not receive ECTS credits from the StarOmics doctoral program, but an attestation to get ECTS credits in their own university.

What are the benefits?
– a large offer of courses and workshops renewed every yearsee current list here:
– a network of colleagues
– a series of soft skills courses (how to present slides, how to write an article, how to write a grant…)
– no ECTS counting (but certificate to reclaim ECTS at you own University)
– substantial reimbursement of travel and accommodation expenses.

What are the requirements?
The participants of the program will be asked to register for a certain number of activities over the 3-year period of the program. Several activities could be offered twice or more over the period in various locations, giving the students some flexibility. To get a certificate from StarOmics, the minimal requirements is equivalent to 12 ECTS credits spread over at least one each of the activity types below. The ideal list would be:

2 annual retreats
3 practical courses
6 workshops
1 joint seminar presentation
2 minisymposiums
2 soft skills training

Who can register?
Any PhD student in Western Switzerland Universities (Bern, Fribourg, Geneva, Lausanne, Neuchâtel) with a project using technologies of high throughput or large scale data generation. They must be in the first year of their thesis.

How to register?
a) Please fill in this form:
Don’t forget to mention any other doctoral program you are already part of or intend to join.
b) Send us your CV at

For any question please contact the coordinator of the program:
Corinne Dentan
Coordinator of StarOmics
Center for Integrative Genomics
Génopode Building
University of Lausanne
CH-1015 Lausanne
Phone: 021 692 39 30

We wish you all a brilliant year 2012 and hope to meet you in the StarOmics activities!

The coordination committee members



Thu 16 Sept 2010, Symposium UHTS 2010 SIB

Dear All,

We are pleased to announce the “Symposium UHTS – 2010”, which will
take place on Thursday 16th September, 2010 in Lausanne, Genopode
Building, starting at 9 am.
Outstanding researchers will present their latest discoveries based on
ultra-high throughput (UHT) sequencing technologies.

For more information, please visit our webpage

Although no formal registration is required, we would ask that you let
us know if you intend to participate by filling out the form provided
on the website.

Feel free to forward the information to any person working in this
field you might know.

With our best regards,

Vassilios Ioannidis
On behalf of the organizers

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SIB courses

The SIB has a dedicated page on its website for courses.


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