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event 19 October 2020 (This event has ended)

Path Dependence in Operational Research - How the Modeling Process Can Influence the Results

Emeritus prof Raimo Hamalainen from Aalto University will present the Department of Statistical Science seminar with a talk entitl

event 14 October 2020 (This event has ended)

Developing High-Throughput CRISPRi-based Functional Genomic Techniques for Mycobacteria

Timothy de Wet will present the Department of Molecular & Cell Biology seminar with a talk entitled, "Developing High-Throughput CRISPRi-base

event 14 October 2020 (This event has ended)

Conservation in a Changing World: Assessing the viability of the agriculturally adapted Blue Crane in the Western Cape

Christie Craig will present her PhD Proposal, "Conservation in a Changing World:  Assessing the viability of the agriculturally ad

event 7 October 2020 (This event has ended)

A contribution to pharmacogenomics (PGx) research and its positioning in precision Medicine

Prof Collet Dandara will present the Department of Molecular & Cell Biology seminar with a talk entitled, "A contribution to pharma

event 12 October 2020 (This event has ended)

Environmental DNA as a monitoring tool at a single and multi-species level

Dr Eleni Matechou,  from the University of Kent, will present the Department of Statistical Science seminar with a talk entitled,

event 5 October 2020 (This event has ended)

Geospatial Data Science for Public Health Surveillance

Paula Moroga, from KAUST, will present the Department of Statistical Science's seminar with a talk entitled, " Geospatial Data Science for Public Health

event 28 September 2020 (This event has ended)

Stress testing behavioural and macroeconomic risks for credit portfolios

Professor Jonathan Crook from the University of Edinburgh will present the Department of Statistical Science with a talk entitled,

event 23 September 2020 (This event has ended)

Coronaviruses: the good, the bad and the ugly

Prof.

event 16 September 2020 (This event has ended)

Computational and wet-lab approaches to inferring the evolution of viral disease symptoms over ~100 year time-frames

Assoc.

event 14 September 2020 (This event has ended)

Machine learning for weather predictions

Peter Dueben, Royal Statistical Fellow.

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Tel: 021 650 2712
Email: sci-science@uct.ac.za

Physical address
Level 6, Chris Hani Building, University Avenue,
Upper Campus, 
University of Cape Town, 
Rondebosch

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