Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Leibniz
- University of Groningen
- ;
- Duke University
- KINGS COLLEGE LONDON
- University of Newcastle
- University of Oslo
- VIB
- CNRS
- COFAC
- Cranfield University
- Curtin University
- DAAD
- Durham University;
- FUNDACION DE INVESTIGACION BIOMEDICA HOSPITAL 12 DE OCTUBRE
- Forschungszentrum Jülich
- Instituto Superior de Economia e Gestão
- Jagiellonian University
- Justus Liebig University Giessen •
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Linköping University
- Linköpings universitet
- Lunds universitet
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- McGill University
- Medizinische Universitaet Wien
- Purdue University
- RWTH Aachen University
- Radboud University Medical Center (Radboudumc)
- Riga Technical University
- SciLifeLab
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- The University of Iowa
- The University of Manchester
- UNIVERSITY OF HELSINKI
- Umeå University
- Universidade de Coimbra
- University of Adelaide
- University of Lleida
- University of Lund
- University of Luxembourg
- University of Minnesota
- University of Minnesota Twin Cities
- University of Pittsburgh
- University of Southern Denmark
- University of Utah
- Université Laval
- Université Libre de Bruxelles (ULB)
- Wageningen University & Research
- Wageningen University and Research Center
- 45 more »
- « less
-
Field
-
objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
-
communication and collaborative skills Excellent written and verbal communication skills in English Additional preferred expertise and experience Experience with longitudinal data analysis and advanced
-
, immunology, high dimensional omics analysis, or mass spectrometry. • Strong data analysis skills using R, Python, or equivalent. • Excellent verbal and written communication skills. • Ability to work both
-
, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least
-
Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
-
. Experience in data processing and visualization is an advantage. Experience in conducting incubation experiments and operating instruments for continuous measurement of gases dissolved in water would be
-
well as willingness to take part in the organisation and execution of field expeditions at sea are required. Experiences with data processing and visualization are advantageous. We expect very good English language
-
legislation and regulations; developing new visual analysis techniques. Depending on your experience, identifying opportunities for collaboration both within and outside WFSR may also be part of your role
-
of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines. Strong organisational skills and
-
. Ability to work independently and as part of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines