Beroepenzoeker

Vind met de beroepenzoeker de beroepen die bij je persoonlijkheid passen of zoek een beroep op trefwoord. Ontdek per beroep hoe groot de kans op robotisering is, welke opleidingen je kunt volgen, wat het gemiddeld salaris is en hoeveel vacatures er zijn. Weet je niet welke persoonlijkheidskenmerken het beste bij je passen? Doe dan eerst de beroepentest.

PERSOONLIJKHEIDSKENMERK 1
  • -Geen keuze-
  • Realistisch
  • Intellectueel
  • Artistiek
  • Sociaal
  • Ondernemend
  • Conventioneel
PERSOONLIJKHEIDSKENMERK 2
  • -Geen keuze-
  • Realistisch
  • Intellectueel
  • Artistiek
  • Sociaal
  • Ondernemend
  • Conventioneel
MAXIMALE OPLEIDINGSNIVEAU
  • 1 - Geen
  • 2 - VMBO
  • 3 - MBO
  • 4 - HBO
  • 5 - Universitair
 

Resultaten voor 3 - MBO

BEROEP
BEROEP EN OPLEIDINGSNIVEAU
VACATURES
11
0
27
0
8
2
0
0
0
0
204
17
3
0
2
61
0
0
2
6
5
11
7
2
1
9
1
16
13
1
2
6
0
28
0
2
7
16
0
0
0
8
6
0
107
0
2
0
1
0
23
225
1
0
0
28
1
2
168
0
0
0
0
47
0
0
15
5
1
1
0
0
1
3
0
1
4
0
0
0
1
0
0
7
15
0
0
3
0
0
0
208
0
0
1
0
0
264
0
7
4
0
0
36
11
15
0
0
0
2
1
0
0
0
6
0
0
0
0
0
0
0
0
1
0
0
1
3
5
0
0
0
0
21
0
26
7
0
4
0
277
75
0
4
2
102
0
0
0
93
0
0
0
0
0
2
14
0
0
1
24
34
4
3
95
1
0
24
0
84
0
7
474
41
1
16
0
102
10
11
0
1617
9
2
66
84
70
0
64
29
3
3
599
1
2
7
0
5
190
84
0
66
14
633
1323
10
23
15
3
49
48
0
8
14
22
54
1
0
4
1
0
0
10
1
0
0
0
0
0
6
0
164
7
8
3
33
3
0
1
1
94
31
5
145
12
117
8
2
66
12
185
23
2
1
24
36
9
46
0
0
0
10
0
6
0
61
0
2
12
230
2
1
99
0
7
2
0
1
2
0
1
0
0
99
9
110
0
84
48
0
3
48
0
7
0
0
0
0
0
421
4
2
0
2
48
48
0
1
0
1
72
3
6
0
1
16
0
6
4
0
61
0
33
1
2
50
1
178
60
10
1
0
1
2
0
1
0
14
21
0
23
0
0
0
1
0
6
3
21
0
0
0
0
5
1
0
0
0
0
50
0
4
0
3
0
0
0
0
0
0
3
0
123
6
1219
8
0
0
2
0
4
3
4
3
0
0
41
0
41
48
2
213
0
0
2
5
90
0
0
0
0
0
7
91
3
0
1
44
18
0
2
18
2
0
0
0
0
0
3
0
0
18
1
2
0
0
0
1115
0
74
0
1
0
11
8
0
0
1264
0
0
3
0
5
2
1
1
7
0
6
2481
0
3
14
0
30
0
0
2
1
14
0
6
1
712
4
0
96
136
2022
449
10
0
0
249
12
15
60
17
39
15
0
115
357
0
0
0
5
41
0
47
18
6
7
26
11
3
0
61
242
2
0
0
106
5
63
577
2
4
0
34
0
0
0
0
7
42
0
3
13
46
35
185
1
1
0
376
82
0
0
1
3
0
6
0
0
0
30
0
41
0
0
9
3
13
1037
8
2
4
1
38
2
18
162
16
5
4
2
14
6
303
103
12
241
1
0
119
1
44
13
16
0
6
0
0
0
1
0
2
0
32
0
0
0
0
0
0
0
0
0
0
0
17
12
0
84
0
0
0
0
0
0
26
15
14
2182
0
1
0
15
5
0
0
2
0
0
4
4
1
6
1
4
5
2
34
0
0
0
0
0
0
0
2
13
0
0
0
2
0
0
0
0
8
0
1
0
0
1
0
8
0
2
0
0
0
0
2
10
0
5
24
17
0
0
8
0
0
25
6
0
0
0
1
1
0
0
4
1
4
555
0
45
0
1
0
344
4
0
247
27
3
6
1
0
43
6
54
0
0
187
0
112
379
1
3
0
14
12
4
0
0
0
12
34
222
0
0
4
25
0
325
2182
0
0
2
0
4
0
13
0
1
0
0
0
0
5
2
0
6
5
2
2
24
14
3
0
7
1147
512
2
164
0
40
1
726
2
48
2
171
48
547
136
0
48
136
17
0
ROBOTISERINGS%
73%
3%
59%
5%
8%
8%
9%
0%
75%
25%
29%
77%
98%
98%
8%
8%
8%
97%
4%
23%
23%
90%
21%
30%
22%
65%
45%
22%
22%
22%
52%
52%
81%
68%
75%
84%
84%
81%
1%
38%
24%
84%
24%
24%
24%
24%
96%
96%
1%
97%
97%
57%
91%
85%
42%
61%
94%
99%
1%
15%
13%
60%
39%
56%
4%
2%
5%
37%
98%
13%
3%
2%
13%
13%
10%
72%
55%
74%
98%
13%
2%
60%
31%
14%
1%
90%
90%
47%
23%
5%
13%
92%
4%
10%
34%
3%
34%
6%
91%
71%
40%
40%
30%
25%
39%
47%
47%
3%
2%
54%
51%
30%
78%
89%
72%
86%
63%
63%
3%
0%
0%
17%
48%
48%
5%
60%
34%
75%
34%
10%
10%
57%
95%
84%
67%
10%
63%
81%
83%
30%
96%
97%
94%
57%
66%
95%
97%
77%
54%
8%
8%
82%
96%
72%
54%
20%
11%
1%
95%
29%
21%
91%
6%
8%
74%
9%
9%
6%
28%
97%
98%
92%
54%
2%
10%
25%
25%
25%
99%
97%
94%
1%
95%
96%
98%
90%
97%
98%
86%
46%
97%
97%
55%
70%
97%
94%
95%
92%
90%
96%
99%
99%
49%
96%
88%
95%
86%
98%
81%
96%
22%
99%
16%
98%
98%
96%
66%
57%
57%
8%
94%
95%
87%
75%
87%
97%
17%
17%
68%
82%
89%
72%
82%
79%
87%
75%
94%
88%
83%
79%
15%
73%
64%
75%
40%
35%
84%
90%
90%
82%
83%
39%
53%
89%
83%
71%
71%
0%
74%
15%
76%
36%
70%
76%
91%
41%
61%
65%
82%
71%
91%
55%
59%
59%
73%
75%
40%
88%
66%
79%
93%
94%
59%
70%
91%
63%
65%
40%
65%
72%
67%
59%
82%
10%
49%
97%
27%
91%
99%
64%
64%
94%
18%
90%
50%
2%
79%
95%
97%
82%
93%
97%
49%
98%
89%
93%
60%
70%
86%
36%
84%
98%
65%
87%
93%
90%
84%
94%
94%
61%
92%
97%
83%
95%
52%
84%
0%
39%
92%
87%
4%
96%
91%
95%
64%
85%
89%
61%
85%
78%
71%
86%
88%
98%
92%
95%
1%
97%
45%
69%
92%
88%
99%
66%
98%
90%
90%
7%
55%
71%
35%
25%
67%
89%
79%
89%
96%
91%
86%
83%
27%
27%
62%
4%
97%
90%
90%
92%
94%
91%
90%
8%
48%
97%
69%
18%
98%
5%
55%
1%
1%
8%
1%
2%
2%
2%
85%
85%
98%
13%
40%
40%
4%
96%
79%
8%
80%
5%
39%
1%
39%
60%
90%
82%
80%
72%
8%
95%
0%
63%
97%
85%
4%
66%
94%
75%
9%
31%
2%
82%
97%
52%
0%
34%
13%
13%
39%
19%
73%
91%
6%
40%
88%
13%
99%
2%
96%
8%
8%
53%
75%
79%
52%
7%
7%
92%
47%
1%
1%
2%
77%
82%
15%
93%
94%
0%
8%
53%
65%
79%
47%
52%
98%
1%
4%
8%
64%
13%
88%
86%
48%
30%
66%
68%
10%
95%
97%
98%
93%
28%
23%
1%
15%
68%
97%
45%
98%
91%
37%
94%
15%
55%
13%
4%
2%
40%
13%
35%
40%
88%
88%
94%
88%
92%
86%
88%
40%
25%
82%
47%
97%
14%
1%
11%
64%
8%
52%
98%
7%
8%
8%
66%
69%
40%
1%
92%
84%
10%
94%
90%
15%
2%
99%
6%
55%
15%
2%
57%
2%
15%
8%
8%
2%
15%
82%
64%
15%
69%
96%
64%
29%
28%
47%
27%
61%
84%
21%
67%
67%
96%
28%
10%
97%
61%
43%
37%
80%
79%
83%
8%
83%
51%
96%
39%
94%
99%
98%
61%
94%
85%
95%
68%
79%
98%
95%
81%
94%
92%
87%
88%
82%
95%
83%
87%
62%
75%
83%
92%
74%
57%
92%
92%
87%
83%
53%
93%
85%
59%
37%
86%
77%
18%
79%
98%
91%
61%
91%
93%
83%
78%
94%
95%
88%
67%
95%
94%
91%
84%
88%
97%
99%
97%
95%
73%
96%
88%
86%
97%
76%
97%
83%
64%
86%
93%
37%
97%
98%
91%
95%
81%
93%
90%
90%
67%
94%
92%
3%
98%
69%
93%
83%
75%
93%
65%
93%
37%
90%
93%
72%
75%
18%
87%
95%
87%
95%
75%
3%
51%
93%
97%
87%
69%
11%
49%
94%
87%
77%
92%
96%
94%
86%
91%
77%
66%
69%
82%
96%
97%
98%
64%
95%
41%
75%
75%
75%
75%
83%
77%
76%
79%
94%
80%
54%
96%
68%
96%
94%
71%
81%
89%
97%
66%
50%
87%
83%
85%
93%
38%
71%
69%
98%
74%
97%
92%
88%
75%
75%
50%
69%
68%
94%
72%
95%
94%
81%
37%
OPLEIDINGSNIVEAU
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1