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Den osynliga revolutionen bakom eluttaget – Webbinarium om framtidens energi
Time: Wed 2022-08-24 14.00 - 15.00 Location: Webbinarium Allt handlar om energi! De allra flesta samhällsutmaningar och hållbarhetsmål är kopplade till hur vi omvandlar, transporterar och använder energi. Kriget i Ukraina och de höga energipriserna bidrar också till att Sveriges energiförsörjning seglat upp som en valfråga.
European Space Agency presentation on the NASA-ESA Moon programme
Time: Thu 2022-09-15 15.15 Location: Q1, Malvinas väg 4 Type of event: Seminars Welcome to one of our monthly seminars! Presented at KTH and digital on zoom.
PDC Summer School 2022: "Introduction to High Performance Computing"
Time: Mon 2022-08-15 09.00 - Fri 2022-08-26 12.30 Location: KTH Main Campus Type of event: Conferences and events
Where, and how big, are the Nordic kelp forests?
New data on the distribution and area of kelp forests in the Nordic region provides a reference point for assessing large-scale changes in the future.
The food industry transformation
Time: Tue 2022-10-11 - 23.59
Green methanol to the transport industry’s rescue
Researchers work on easier, cheaper and more efficient renewable methanol production to cut transport carbon emissions.
Discovering the black hole needle in the galactic haystack
EU-backed astrophysicists have found a dormant black hole nine times the mass of our Sun in a neighbouring galaxy.
TRENDING SCIENCE: Beating the heat becoming more difficult, science says
As Europe sizzles, keeping cool in an ever-warming world will be a challenge.
Experts wanted to help prioritise cancer research at European level
The EU-funded "4.UNCAN.eu" project has issued a call for European cancer research experts to set a strategic agenda of research priorities in cancer.
18.10.2017: Teaching demonstration for Assistant Professor/Associate Professor/Professor position in computer science (Algorithms and machine learning)
18.10.2017 10:00–11:00 Lecture Exactum C123 "The teaching demonstration is within the general area of algorithms and machine learning. The choice of topic and the level of presentation roughly aimes at first-year master's students within this area."

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