37 big-data-phd positions at SciLifeLab

Doctoral student in marine biology – Developing biological forecasts for the Digital Twin of the Ocean (DTO) (DDLS Research School)

| University of Gothenburg (gu.se) Subject area description At the Department of Marine Science, we are looking to fill the position as PhD student in the program “Data-Driven Life Science (DDLS) ” and more

Statistician with a focus on biostatistics, Core Facilities

specialized in biostatistics and big data to join the team at BDC. You will contribute with your expertise within statistics in the analysis of data of complex datasets for both clinical and research purposes

Doctoral student in marine biology – Developing biological forecasts for the Digital Twin of the Ocean (DTO)

student pages. Doctoral studies | University of Gothenburg (gu.se) Subject area description At the Department of Marine Science, we are looking to fill the position as PhD student in the program “Data

Industry PhD Position at Antaros Medical (DDLS Research School)

of data-driven state-of-the-art image analysis techniques, including novel segmentation and image registration methods, applied on a combination of large-scale private and public datasets. Welcome

Researcher in Baltic Sea Research

at a high rate. Special emphasis is placed on: Experience in the analysis of large-scale datasets in microbial (meta)genomics Knowledge of microbial metabolism and experience in connecting genomics data

Bioinformatician, temporary position, NGI Uppsala, SNP&SEQ

of large-scale genotyping data. Experience working in an accredited environment (or equivalent regulation). Good understanding of information security and GDPR. Good Swedish language skills, both spoken and

Doctoral (PhD) student position in computational network-based cancer precision medicine (DDLS Research School)

methods and AI methods on large-scale data. The position is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Data-driven life science (DDLS) uses data

PhD student in computational microbial ecology

specimens, and large-scale remote monitoring of organisms or habitats. The PhD project in computational microbial ecology will utilize a data-driven approach to reconstruct the nitrogen (N) cycle based

PhD student in computational microbial ecology

, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. The PhD project in computational microbial ecology will utilize a data-driven approach to

PhD student in structure-based drug design with focus on machine learning (DDLS Research School)

for Life Laboratory (http://www.scilifelab.se/ ). Visit the group website for more information (http://www.carlssonlab.org/ ). The PhD student will be part of a data-driven life science research school