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Field
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experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
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a closely related field with a focus on agricultural systems solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support robust experience with Python proven
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programming skills in Python and/or C/C++ ability to work independently and collaboratively in an interdisciplinary environment excellent communication skills in English willingness to travel regularly between
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, probability, and statistical signal processing Familiarity with antenna array signal processing techniques Sound understanding of optimization methods and algorithms Proficiency in Python programming Proven
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independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical
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programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly valued. Participation in teaching activities (e.g., supervising practical
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materials, and interest in operando characterization Experience with programming / scripting (ideally Python), and, optionally, with control systems (SPS/PLC, EPICS, Tango) Fluent in written and spoken
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optics, ideally, knowledge of electronics, Python and FPGA (VHDL) programming, interest in working with experts on a cross-institute collaboration project, very good written and spoken English language
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Center CRC1690 (Disease Mechanisms and Functional Restoration of Sensory and Motor Systems, https://sfb1690.uni-goettingen.de) and the newly founded Else Kröner Fresenius Center for Optogenetic Therapies
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biophysics, biology, biochemistry, or other relevant discipline Excellent written and spoken English skills High degree of independence and commitment Good knowledge of python and C++ Experience in relevant