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Field
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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
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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
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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
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or tools and methodologies for dynamical simulation. programming skills in Python, MATLAB, Modelica and/or domain specific tools used for energy system modelling and simulations. Emphasis is also placed
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motivated Postdoctoral Fellow with strong expertise in RNA-seq and multi-omics data analysis. Candidates should be proficient in Python and/or R and have a solid background in Biology, Computational Biology
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learning models applied to material modeling. Proficiency in programming languages, such as Python, MATLAB, Julia, and C++, and molecular dynamics programs, such as LAMMPS, to predict mechanical/electrical
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techniques Experience with data analysis using, e.g., Origin, Python or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and written communication skills in
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the Regulations relating to the Act relating to Universities and University Colleges . It will be an advantage if you have Documented strong competence in programming, for example in Python. Strong analytical
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(e.g., Python/ MATLAB) and experience in conducting computational experiments. Personal qualities Ability to work both independently and collaboratively Strong ability to follow through on tasks and
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good collaborative skills It is an advantage with experience performing experiments on fish or other animals. strong quantitative and data-handling skills (e.g. using R/python or an equivalent