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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
science, applied mathematics or a related field. Programming proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can
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. Strong programming skills in e.g., Python/NumPy, PyTorch or C++. Excellent communication skills in English (both oral and written). An eagerness to travel within Europe. Other prerequisites: Applicants can
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welcome candidates with a Master’s degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python
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and Harold) and Python/MATLAB scripting or designing mask layouts for fabrication. Further information: Prof. Paul Verrinder (paul.verrinder@aalto.fi ) 2D and 3D Semiconductor Heterojunctions for Energy
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of statistics and quantitative data analysis, hands-on experience with R or Python strong interest in prototyping commitment to and interest in the design and implementation of Open Science/Open Source practices
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interested in collaborating with clinical partners. A high level of perseverance. Strong programming skills in e.g., Python/NumPy, PyTorch or C++. Excellent communication skills in English (both oral and
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devices Good understanding of superconductivity and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working
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electron gases and semiconducting devices Good understanding of superconductivity and energy bands in materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python
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materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working knowledge of microwave techniques Experience on operating dilution