Sort by
Refine Your Search
-
As a Software Developer at the SciLifeLab Data Centre, you will develop and maintain national systems for research data, using Python and Kubernetes to build scalable and sustainable solutions. Join
-
related field. Several years of documented professional experience in the relevant field Strong knowledge in bioinformatics related to affinity based proteomics. Proficiency in R, Python or similar
-
for seeking the position. Extensive experience with Python, Matlab, and R, and good UNIX knowledge are essential skills, as well as familiarity with biological omics data analysis techniques. Experience with
-
knowledge of relevant machine learning and AI techniques Proven scientific excellence as evidenced by strong scientific publications and track record relative to career stage Strong programming skills (Python
-
learning or deep learning, preferably with transformer architectures Experience in probabilistic modelling or Bayesian statistics Programming skills in Python, preferably with PyTorch or similar frameworks
-
, genetics, plant biology, or a related field, and have documented familiarity with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy
-
programming, especially in Python. You are independent, meticulous and work efficiently. This position requires good communication skills: You enjoy actively participating in meetings and have a strong ability
-
in Python and/or R experience using relevant bioinformatics tools or frameworks, such as Seurat, Scanpy, or similar good ability to work independently as well as collaboratively in a multidisciplinary
-
data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
-
years of experience in systems development with Python and version control systems, e.g., Git – Documented experience with using container and cloud technologies such as Docker, Helm, and Kubernetes