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relevant field Proficiency in Python, and/or R statistical package. Proficiency in using LLM, model training, and Generative AI. Experience with supervised and unsupervised ML techniques Skill in collecting
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an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying
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validation against established individual-difference measures (Step 2), and experimental validation using paradigms including role-playing, trust games, and group decision-making (Step 3). The role involves
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analysis skills, with a minimum of 3 years of statistical programming experience with R (possibly also Stata, Python or other statistical software) Excellent oral and written English-language communication
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-actively collaborate in a network of different research groups Willingness to work in a team and to mentor PhD students Strong written and verbal communication skills in English The following experience will
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addition to holding a PhD, you must have a strong analytical background and experience in quantitative ecology, spatial analysis, handling large and complex datasets, and proficiency in programming (e.g., R or Python
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) the electrostatic impact of a trap on the total charge, according to its position along the channel, its depth in the oxide, the dimensions of the channel and the different operating regimes of the MOSFET, as
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representation and individual differences using large-scale multimodal datasets and computational tools. Job Related Minimum Required Education and Experience Requires a Doctoral (Ph.D.) degree in area of research
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in programming, ideally with experience in languages commonly used in computational biology (e.g. Python, C). Experience with HPC, workflow managers (e.g. Snakemake, Nextflow), and containerization
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of molecular phenotypes, Mendelian Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and