Courses

Program 2022-2023 (the page is currently being updated)

Programme & schedules are being updated on a regular basis.

Courses organized by the Doctoral School - On-line registration
 
Taking place during period 1 : October & November
Sessions taking place in November will be organized on-line
Introduction to computer-aided drug design
Introduction to Matlab programming 
Mettre en place des projets de recherche qualitative appliée en milieu clinique
Scientific writing and publishing Autumn Session
On-line registration for period 1 : 29.08-11.09.22
 
Taking place during period 2 : December, January & February
Good practices in biostatistics - data  analysis plan - New
Hands-on introduction to machine learning for biomedical data
Scientific writing and publishing Winter Session
On-line registration for period 2: 14-23.11.22
 
Taking place during period 3 : March, April & May
Bioinformatics algorithms
Data management and Open Data in life science
Inborn diseases of metabolism affecting brain development 
Introduction to clinical research methods Biannual Course 
Scientific writing and publishing Spring Session
Secondary analysis of microbiome data  New
Statistical methods: theory and applications: 
Possibility to take part to 1 or more modules.
Modules 1 & 2 (or courses considered to be equivalent) are mandatory before registering for 3 & 4.
-Module 1: Introduction to R (in EN) 
-Module 2: Multiple linear regression (in EN)
-Module 3: Analyse de survie (exceptionally in French) 
-Module 4: Statistics for Genomic Data Analysis (in EN) 
Writing science clearly, to make you more visible and a better scientist New 

Requirements

-You are a 2nd-3rd year PhD student in Life Sciences 
-You have a C1 English level
-You commit to attend and participate to ALL courses - this is a very interactive course.
-You commit to deliver WEEKLY ASSIGNMENTS

If interested, contact Dr Preitner before the subscription date (frederic.preitner@unil.ch)  
On-line registration for period 3 : 30.01-08.02.23
 
Taking place during period 4 : June & July
Data management plan & open data in life science 
Hands-on introduction to machine learning for biomedical data
Introduction to computer-aided drug design
On-line registration for period 4 : 08-17.05.23

 

Other Courses & Organizers - Registration directly via the organizers (see the conditions on their websites)
Business & project management
Business Concept Training (Swiss Confederation)- 4 ECTS
CREATE 3 - Interdisciplinary Acceleration Program (UNIL)- 4 ECTS
 
Communication
Public Dissemination Skills - 1 ECTS
SciFilmIt Hackathon Lausanne - 1 ECTS 
 
Digital skills
EPFL Extension School - Courses might be validated under request- Modules will be recognized for a maximum of 4 ECTS in your doctoral program.
 
English in academia (recognized if the entry level of the PhD student is B2)
Academic writing skills for doctoral students (B2/C1) - Block course - 2 ECTS
Academic writing skills for doctoral students (B2/C1) - 2 ECTS
Communicating in English in an academic context for Master and PhD students - 1 ECTS
Coaching for Communicating in English in an Academic Context - 1 ECTS
Presenting Research in English (for Doctoral Students & Researchers) - 1 ECTS
 
Humanities and social sciences of medicine
Humanités en santé - 0.75 ECTS (MOOC)
Genre: quels enjeux ? Violences, globalisation, biomédecine, sexualités - 0.5 ECTS (MOOC)
 
Science
Modèles pharmacocinétiques and pharmacodynamiques : une introduction "les doigts sur le clavier" 
Longitudinal non-linear mixed-effect models: a practical introduction to population pharmacokinetics with the NONMEM software
Radiophysique médicale : physique de la radiothérapie  - Detailed program  - 
 
Science/Life Science - Refresher course/Mise à niveau
0 ECTS  in the PhD in Life Sciences
Fundamentals in Molecular Biology 
 
Techniques
Biostatistics for non-statisticians: good practices, misuse and pitfalls.
Introduction to fluorescence imaging for the analysis of living cells - 1 ECTS
 
Thesis from A to Z, spice up your research
  • Courses: a minimal duration of 8 hours is required.
  • ECTS points are not granted for PhD thesis consultations and career orientation/networking activities.
Open access, project management for researchers and more...
 
Continuing vocational training
Modules will be recognized for 4 ECTS maximum in your PhD program in Life Sciences ; on the 12 ECTS, 6 ECTS max can be obtained in the "transversal skills" category.
Diploma of Advanced Studies (DAS) Work+Health
Master of Advanced Studies (MAS) in Toxicology (Registration 31st August 18)
Master of Advanced Studies (MAS) in Health Economics and Management 
And others - Evaluations are done under request.

 

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Only for tutorials and courses organized by the Doctoral School.

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