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Field
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programming experience in one or more languages such as Python, R, or MATLAB. Experience working with marine / environmental observation systems, sensor data, and / or remote sensing. Experience handling large
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and ability to communicate clearly Merits include: Knowledge of LLMs, deep learning, and Python programming Knowledge of power electronics Experience in modelling, simulation, and experimental work In
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applied perspectives. Strong programming skills in R, MATLAB, and Python are highly desirable. The successful candidate is expected to be fluent in English and open to both national and international
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. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML
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experience and track record in using open databases and bioinformatic tools and services. Strong programming skills for developing computational tools or data workflows (Python or similar), with good software
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BECCS plant. Experience of in-situ analytical equipment for BECCS, such as Raman spectroscopy and/or FTIR. Knowledge of modelling and programing skills in Python, Aspen Plus, MATLAB, Modelica, Fusion 360
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Good knowledge of scripting and automation (e.g. Python or Bash) Strong interest in developing further within the field Excellent collaboration and communication skills Ability to work independently and
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(e.g. Python, Matlab, or similar) at a level sufficient to handle and analyze large datasets Knowledge of physics, meteorology, atmospheric science, or a closely related field at Master's levelgood
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R and/or Python, with experience in data integration and statistical analysis. Exposure to RNA therapeutics or functional genomics approaches is an advantage. Strong interest in interdisciplinary
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(see below) are also encouraged to apply. Proficient in at least one programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial