Sort by
Refine Your Search
-
management Guide M.Sc. students Participate in a dedicated training plan For further information, please contact Prof. Gabriele LENZINI at info- and Prof. Pedro CARDOSO-LEITE Your profile The ideal candidate
-
Knowledge of electronics, programmable logic, and processing systems is an advantage Strong analytical and programming skills are required (Python, VHDL, Matlab, and C/C++). Prior proven experience in data
-
collaboration with the candidate, a detailed research plan will be drafted aiming to unravel mutational robustness and evolvability in Escherichia coli. The work will involve genome editing (CRISPR), genetics
-
/electrical engineering, or a related field.Strong interest in automation and laboratory robotics.Basic experience in wet-lab microbiology techniques.Willingness to learn programming and computational analysis
-
students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
-
degree or equivalent in Robotics / Aerospace / Mechatronics / Mechanical or Electrical Engineering, or related fields in Engineering or Computer Engineering Programming Skills: Design tools for Mechanical
-
students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
-
, funded by the European Commission’s Horizon Europe programme. You will be based in Brussels, Belgium and will enroll as a PhD student at Vrije Universiteit Brussel (VUB). The main line of research will be
-
, biochemistry, genomics, bacterial genetics and bioinformatics. You can work both independently as well as in an international team You can plan and perform laboratory experiments accurately You have strong
-
/electrical engineering, or a related field. Strong interest in automation and laboratory robotics. Basic experience in wet-lab microbiology techniques. Willingness to learn programming and computational