Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- University of Michigan
- Zintellect
- Nature Careers
- Indiana University
- University of Bergen
- Johns Hopkins University
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- University of Maryland, Baltimore
- The University of Queensland
- University of British Columbia
- University of Nottingham
- University of Texas at Austin
- City of Hope
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- UCL;
- University of Michigan - Ann Arbor
- CSIRO
- Center for Drug Evaluation and Research (CDER)
- Cranfield University
- Hong Kong Polytechnic University
- Humboldt-Universität zu Berlin
- Paul Scherrer Institut Villigen
- RMIT UNIVERSITY
- University of Sydney
- CRANFIELD UNIVERSITY
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Monash University
- NTNU - Norwegian University of Science and Technology
- University of Birmingham;
- University of California
- University of Southampton;
- Auburn University
- Brandeis University
- Center for Devices and Radiological Health (CDRH)
- FCiências.ID
- Florida Atlantic University
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- LNEC, I.P.
- Queen's University Belfast;
- RMIT University
- The University of Alabama
- The University of Edinburgh;
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UiT The Arctic University of Norway
- University of Idaho
- University of Otago
- University of Oxford
- University of South-Eastern Norway
- Villanova University
- ADELAIDE UNIVERSITY
- Aarhus University
- AbbVie
- Amgen
- Associação Universidade-Empresa para o Desenvolvimento - TecMinho
- Barnard College
- CNRS
- Carnegie Mellon University
- Centro de Engenharia Biológica da Universidade do Minho
- Dana-Farber Cancer Institute
- Deakin University
- European Space Agency
- Faculdade de Ciências e Tecnologia
- George Mason University
- Georgetown University
- King Abdullah University of Science and Technology
- King's College London
- King's College London;
- Lawrence Berkeley National Laboratory
- Manchester Metropolitan University
- Marquette University
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- NORCE Norwegian Research Centre
- NTNU Norwegian University of Science and Technology
- National Center of Neurology and Psychiatry
- National Laboratory of Energy and Geology
- Northeastern University
- Nova School of Business and Economics
- OCAD University
- Oxford Brookes University;
- QUEENS UNIVERSITY BELFAST
- RCSI - Royal College of Surgeons in Ireland
- Ryerson University
- Saint Louis University
- Singapore University of Technology & Design
- TAIPEI MEDICAL UNIVERSITY (TMU)
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- Texas Christian University
- The Francis Crick Institute;
- The University of British Columbia (UBC)
- The University of Memphis
- The University of Southampton
- UNIVERSITY OF HERTFORDSHIRE
- UNIVERSITY OF SURREY
- 90 more »
- « less
-
Field
-
microscopy, antibody-based techniques, small molecules/ligand-trap based therapies Preferred qualifications Experience with bioinformatic analysis using R and/or Python. Experience with molecular/cellular
-
tools such as MATLAB, Python, or equivalent engineering software. Experience with experimental and instrumentation measurements setup for noise and vibration (e.g., sound intensity probes, vibration
-
closely related quantitative field. • Have experience using statistical software (R, Python, SPSS, Stata), regression analysis, and statistical modelling are required. Preference will be given
-
biochemistry or analytical chemistry. An expert understanding of mass spectrometry, and its application for peptide and protein analytics in a dynamic research environment. A good understanding of Python
-
proficiency in R and/or Python for statistical modeling and large-scale data analysis; experience developing reproducible computational workflows is preferred Experience with Linux-based environments and large
-
and sensor data analysis Experience in remote sensing with satellites Experience in analytics in biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS
-
biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS, or equivalent tools for environmental data-analysis Familiarity with computational flow dynamics modelling
-
externally (e.g., conferences) Required: PhD in Bioinformatics, Computer Science, Computational Biology, or related field Experience analyzing DNA sequencing data Proficiency in Python and/or R Familiarity
-
statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in-difference, PSM) o Social
-
publication record in reputable journals. Strong expertise in deep learning, artificial intelligence, and machine learning methodologies, with high competency in Python and R programming languages for modeling