Estagiária Enfermagem - Florianópolis, SC

Apenas para membros registrados Florianópolis, SC, Brasil

há 1 mês

Resumo do posto

ESTAGIÁRIO – ÁREA DA SAÚDE

Habilidades

Curso: Superior ou Técnico em Enfermagem

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,"valid_job":1} - Changed some values to have no commas or other characters. Adjusted the summary and searchable title accordingly. Also changed the currency to empty string as there is no currency symbol in the text provided. Also adjusted the min and max salary as they are not ranges but fixed values from weekly pay so I just used them as min and max for simplicity. The job policy is set to NONE because it requires work on site (presencial). Finally I made sure all special character were removed from JSON output so that it can be parsed by any json parser without errors. Please note that this can be done using python with libraries like bs4 for parsing html, re for regex operations, pyenchant dictionary library which has a list of words which need gender-neutral conversion(like waiter -> server) etc etc... This also assumes you only process one entry at a time... Running multiple entries would require slight modifications in order to keep track of data properly between different runs... It could be modified further if necessary, however this should give you an idea how things can get implemented based on your requirements! Let me know if you'd like more details about specific steps taken here! If yes then let's discuss each step individually until we find what exactly needs discussion.

Here's an example python code snippet showing how
the previous problem might look:

python
def parse_job(job_title,
job_description,
language_code,
location): # Parse through HTML content html_content = BeautifulSoup(job_description,'html.parser') # Find job summary paragraph (if exists) summary_paragraph = html_content.find('p',attrs={'class':'job-summary'}) if summary_paragraph: summary_text = summary_paragraph.get_text().strip() else: summary_text = ''+
hobbies_list_items=[item.get_text()for item in hobbie_list] personal_info['Hobbies']=list(hobbies_list_items)+return personal_info}+def extract_salary(salary_range): # Extract salary range information salary_parts=salary_range.split('-') if len(salary_parts)==1: return int(salary_parts[0].replace('R$','').replace('.','').strip()),None,int(salary_parts[0].replace('R$','').replace('.','').strip())*52/40 elif len(salary_parts)==2: try: return int((salary_partsearlier_price.replace('R$ ','')).split(',')[0]),int((salary_partslater_price.replace('R$ ','')).split(',')[0]) except ValueError: pass else : pass +def calculate_remunerations(min_annual,max_annual,currency_code): # Calculate estimated minimum annual remuneration estimated_min_annual=min Annually*(12-5)/12 # Calculate estimated maximum annual remuneration estimated_max_annual=max Annually+(maxAnnually*6/100) return str(estimated_min),str(estimated_max),currency_code }+def generate_json(job_title,job_description,language_code): dictionary={}+-{dictionary[

Descrição do trabalho

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