IceLab Events
Be prepared for the grand challenges of the future Many grand research challenges of the future exist in the unexplored terrain between traditional disciplines. IceLab Camp will help you prepare for the multidisciplinary endeavour. Do you think your experimental research would benefit from causal understanding through mathematical modelling? Would your [...]
IceLab Seminar with Ondřej Mikula, Researcher, Institute of Vertebrate Biology of the Czech Academy of Sciences, Brno, Czech Republic Please join us in IceLab. Title: Infomap as a good taxonomist - delimitation of species by clustering on the coancestry matrix Abstract: Boundaries of biological species can be revealed by study [...]
Calling researchers interested in understanding living systems under stress: join the kick-off conference! Stress Response Modeling at IceLab, the Swedish Research Council-funded excellence center focused on studying adaptive mechanisms in living systems under stress, with support from Kempestiftelserna and Knut och Alice Wallenbergs Stiftelse, invites you to join a two-day [...]
IceLab Seminar with Kim Sneppen, Professor of Biocomplexity, Niels Bohr Institute, Denmark Please join us in IceLab to listen to a talk from visiting researcher Kim Sneppen. Title: Bacteriophage Games Abstract: The talk will discuss concepts from bacteriophages, including population control of the bacterial host, and the possibility of eliminating [...]
Lunch Pitches with Joram Waititu, Aicha Kriaa and Anna Morén with Marianne Eik To encourage cross pollination of ideas between researchers from different disciplines, IceLab hosts interdisciplinary research lunches with the vision of allowing ideas to meet and mate. During the Lunch Pitch Season, the creative lunches take place [...]
IceLab Seminar with Linnéa Gyllinberg, Centre for Interdisciplinary Mathematics, Uppsala University Please join us in IceLab to listen to a talk from visiting researcher Linnéa Gyllinberg. Title: Mathematical models of basal cognition Abstract: Building mathematical models of brains is difficult because of the sheer complexity of the problem. One potential [...]