Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, that used multiple atmospheric [CO2 ] records from the Amazon, indicates that the region’s southeast is still a carbon sink, attributing the excess of atmospheric carbon observed to emissions from
-
Overview You will be a member of the Particle Physics and Particle Astrophysics (PPPA) group in the School of Mathematical and Physical Sciences. We are seeking to appoint three fixed term Research
-
are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI
-
Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design
-
, working at the intersection of multiple fields;- Connecting and collaborating with other national and international researchers in the life sciences and computer science;- Writing and presenting/publishing
-
multiple families), SynComs from the MICROP culture collection, and advanced phenotyping from the Netherlands Plant Eco-phenotyping Centre (NPEC). You will conduct large-scale SynCom experiments, perform
-
skills. Specifically, you have multiple of the following qualifications: a Master’s degree in Epidemiology, Drug innovation, Pharmacy or a closely related field in biomedical sciences (or are close to
-
have advanced (theoretical) knowledge of multiple of the following subjects: Structural Biology, X-ray crystallography, Cryo Electron Microscopy, Biophysics, Biochemistry. You are experienced in
-
PhD Studentship: Optimising Observations To Improve Early Warning Skill of Predicting Tipping Points
This is a 3.5 year PhD studentship that will focus on developing methods for understanding the impact of observations, including those from multiple static and mobile autonomous platforms, in
-
to staff position within a Research Infrastructure? No Offer Description You will develop a mathematical framework for multiple testing, enabling flexibility in study design, analysis, and model choice