2019 BigInsight Day

The fourth yearly BigInsight Day will be held Thursday 14th November at Norwegian Institute of Public Health (Folkehelsa).

While we announce our yearly workshop openly, participation is restricted only to all staff from all the BigInsight partners including UiO.

Registration is free but obligatory and required by Friday 1st November.

Place: Norwegian Institute of Public Health (Folkehelsa)
Address: Lovisenberggata 8, 0456 Oslo

Programme with registration can be found here.

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Data Science Day 2019

BigInsight, SIRIUS and DataScience@UiO welcome the Data Science community to the third annual Data Science Day.

Time and place: Data Science Day 2019 Oct. 16, 2019 5:30 PM–10:00 PM, The Science Library, Vilhelm Bjerknes hus Add to calendar

On 16 October BigInsight, SIRIUS, and DataScience@UiO welcome the data science community to an evening of socialisation, learning and entertainment. 

This year, we have three exciting talks lined up. Christos Dimitrakakis and Geir Storvik from the University of Oslo, and Lauren Edelson from Workplace by Facebook will talk about different aspects of data science. Before and after the talks we gather in the Science Library foyer for mingling and refreshments.

Continuing the success from the last two years, we invite interested parties from industry to set up stands where they can present themselves to the rest of our guests. Our goal is to bring all parts of the data science community together for a unique networking opportunity.

Data Science Day is an event for everyone, whether you are familiar with data science practices, or you are simply curious what data science is all about.

The event is free, open for all audiences, and requires no registration. There will be served some food, snacks and soft drinks.

Program

17:30 Doors open, finger food and soft drinks served
18:00 "Social aspects of AI: Privacy, Fairness and Safety" by Christos Dimitrakakis
18:30 "On the use of Bayesian methods in machine learning" by Geir Storvik
19:00 "How to Use Data to Reduce Bias" by Lauren Edelson
20:00 Socialisation and refreshments

Organizer

DataScience@UiO

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Algoritmer skal avsløre svindlerne

Smarte forskere, big data og nye algoritmer skal hjelpe Gjensidige med å avsløre svindel. Alt for å gjøre prosessene enklere for de ærlige kundene.
Les artikkelen i Finansfokus her.

BIG DATA: Gjensidige sitter på masse informasjon om kundene sine. Nå skal de bruke disse dataene til å avsløre svindlere. –Med dagens teknologi, der kundene skal ordne veldig mye selv, må vi finne nye måter å avsløre dem som er i risikogruppen for å bedrive svik, sier Erlend Willand-Evensen og Ole Hermansen.

BIG DATA: Gjensidige sitter på masse informasjon om kundene sine. Nå skal de bruke disse dataene til å avsløre svindlere. –Med dagens teknologi, der kundene skal ordne veldig mye selv, må vi finne nye måter å avsløre dem som er i risikogruppen for å bedrive svik, sier Erlend Willand-Evensen og Ole Hermansen.

1-2 PhD positions available at BigInsight - apply before April 23

Job description

Two PhD Research Fellowships in statistics and machine learning available at the Department of Mathematics of the University of Oslo, Norway. The fellowship is for a period of 3 years, with starting date to be agreed upon.
 
Applicants must have a Master of Science degree in statistics, data science, machine learning, mathematics or a related quantitative subject, with proven competence in statistics. Candidates without a Master’s degree have time until 31.08.2019 to complete their final exam.
 
The ideal candidates have some experience in methodological statistics, and an outstanding potential and genuine interest to develop statistical methodology to solve important applied problems. Excellent programming capacity is required.
 
The PhD positions are part of the centre of excellent BigInsight, where we develops statistical and machine learning methodologies, analytical and computational tools to extract knowledge from complex and big data. Rather than being merely data driven, we investigate approaches that exploit statistical models describing dynamics, mechanisms and structures of the underlying processes.

The PhD candidate will be employed by the University of Oslo, thus enjoying all legal benefits in such a position, including health insurance, pension contributions and family welfare benefits. The working language is English.
 
Salary ca 50.000 Euro per year plus pension, insurance and more welfare privileges.
 
All details on the call can be found here, as well as how to apply:

https://www.jobbnorge.no/en/available-jobs/job/168345/phd-research-fellowships-in-statistics-and-machine-learning-1-2-positions

Deadline: 23. April 2019
 
For further information regarding the positions, please contact: Professor Ingrid K. Glad, glad@math.uio.no
 

Workshop: TOWARDS IN SILICO-GUIDED CLINICAL TRIALS IN CANCER

We would like to bring your attention to the upcoming workshop:
TOWARDS IN SILICO-GUIDED CLINICAL TRIALS IN CANCER 
to be held in Oslo, 15-16 May 2019 at Scandic Holmenkollen Hotel.

We bring together experts in systems medicinemathematical oncology and bioinformatics to discuss novel concepts for personalise cancer medicine. Check the workshop website for more details: https://osloinsilico2019.weebly.com/

Confirmed speakers: 

  • Robert A. Gatenby, Moffitt Cancer Center, USA

  • Ivo Gut, Centre for Genomic Regulation, Spain

  • Francesca Buffa, University of Oxford, UK

  • Gyan Bhanot, Rutgers University, USA

  • Peter Van Loo, The Francis Crick Institute, UK

  • Sampsa Hautaniemi, University of Helsinki, Finland

  • Wenyi Wang, MD Anderson Cancer Center, USA

  • Haralampos Hatzikirou, Helmholtz Center, Germany

  • Dominique Barbolosi, Aix Marseille University, France

  • Rebecka Jörnsten, University of Gothenburg, Sweden

  • Mark Robertson-Tessi, Moffit Cancer Center, USA

  • Julia Casado, University of Helsinki, Finland

  • Kevin Leder, University of Minnesota, USA

  • Shridar Ganesan Rutgers Cancer Institute, USA

  • Peter A. Fasching Erlangen University Hospital, Germany

  • Jasmine Foo University of Minnesota, USA

  • Alvaro Köhn-Luque, University of Oslo, Norway

Registration is free but mandatory in a first come first serve bases for up to 75 participants. It includes two full days of lectures, lunches and coffee breaks with refreshments (thanks to funding from BigInsight, UiO: Life Science, NORBIS, Norwegian Biochemical Society and Digital Life Norway).

We hope many of you will join. If so, you should register as soon as possible. 

Best regards
The workshop organisers:
Vessela N. Kristensen, Institute of Clinical Medicine, University of Oslo
Alvaro Köhn-Luque, Oslo Centre for Biostatistics and Epidemiology, University of Oslo
Arnoldo Frigessi, Oslo Centre for Biostatistics and Epidemiology, University of Oslo
Jasmine Foo, University of Minnesota, USA

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PhD position in Statistics, Risk and Reliability Analysis

Dear colleagues,  

A PhD position in Statistics, Risk and Reliability Analysis is available at the Department of Mathematics, University of Oslo. 

Deadline for submitting applications is 7th April. More details about the position and information on how to apply can be found at  

https://www.jobbnorge.no/en/available-jobs/job/166345/phd-research-fellow-in-statistics-risk-and-reliability-theory

If you know any good candidates, then it would be great if you would forward this message to them.

Please do not hesitate to contact me if you have any question.

Best regards,
Sven Ove Samuelsen
osamuels@math.uio.no

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