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such as R, Python, or Julia. Excellent communication and collaborative skills. Strong publication records in peer-reviewed journals is an advantage. Experience with biological data (e.g., genomics
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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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optics, quantum information science, or quantum field theory. • Simulation: Proficiency in MATLAB or Python for simulation/modeling and data analysis. • Experience with COMSOL Multiphysics and/or Lumerical
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datasets using Python or R. Ability to work both independently and collaboratively, with strong organisation, attention to detail and communication skills. Clear motivation to apply interdisciplinary and
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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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design, CD CAD, and the ability to work across systems integration topics, along with programming in one or more of: Python, Matlab, C, C++, FORTRAN, LabVIEW. You will also bring excellent project and time
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dynamics or fisheries. Proven experience and ability programming in R or Python. Proven experience and interest in the application of mathematical modelling techniques to model the ecology of wildlife
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computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required. Required skills: · Experience with Python · Experience with
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, with the possibility of extension. About you: Essential criteria PhD qualified in psychiatric genetics, biostatistics, statistics or related field Proficient in using R, Python or similar programming